Amazon Stores is looking for exceptional Applied Scientists to join our efforts in developing generative AI solutions in marketing. In this role, you will be part of a team that designs, implements, and evaluates state-of-the-art agentic AI solutions to enhance customer experiences through intelligent, personalized interactions.Key job responsibilities* Research, develop, and deploy novel approaches using large language models (LLMs) and multi-agent AI systems* Design and implement scalable solutions for personalized recommendations and customer insights* Create innovative evaluation frameworks for complex AI systems* Collaborate with cross-functional teams to integrate AI solutions into production environments* Conduct rigorous experimentation and data analysis to improve model performance* PhD in Computer Science, Machine Learning, AI, or related field; OR Master's degree with 2+ years of relevant industry experience* Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.)* Experience building and deploying machine learning models in production environments* Proficiency in natural language processing techniques and applications* Strong publication record or demonstrated practical experience in machine learning* Experience working with large language models (LLMs) and prompt engineering* Knowledge of multi-agent systems and their applications* Background in recommendation systems or personalization technologies* Experience with uncertainty quantification in AI systems* Ability to design and implement automated testing frameworks for ML systems* Previous experience in AI labs or AI-focused startups* Strong communication skills and ability to translate complex technical concepts to diverse audiences* Experience with model evaluation and validation methodologies* Track record of innovation in applied machine learningBASIC QUALIFICATIONS- PhD in Computer Science, Machine Learning, AI, or related field; OR Master's degree with 2+ years of relevant industry experience- Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, etc.)- Experience building and deploying machine learning models in production environments- Proficiency in natural language processing techniques and applications- Strong publication record or demonstrated practical experience in machine learningPREFERRED QUALIFICATIONS- Experience working with large language models (LLMs) and prompt engineering- Knowledge of multi-agent systems and their applications- Background in recommendation systems or personalization technologies- Experience with uncertainty quantification in AI systems- Ability to design and implement automated testing frameworks for ML systems- Previous experience in AI labs or AI-focused startups- Strong communication skills and ability to translate complex technical concepts to diverse audiences- Experience with model evaluation and validation methodologies- Track record of innovation in applied machine learningAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.You will deliver water sustainability projects for AWS Infrastructure in US West regions, as you execute on the delivery of multiple water infrastructure development projects, monitor operational efficiency metrics, and build in system resiliency after project hand-off to regional operations teams. You will also be the central point of contact for all issues pertaining to water and wastewater treatment and disinfection systems and for managing healthy relationships with utilities. If you understand water-cooled infrastructure in building operations, are interested in innovation in the water sector, and understand the feasibility of construction under various designs, you are a probably a good fit! Key job responsibilitiesKey responsibilities include:• Plan and implement water and wastewater infrastructure projects that support water delivery to data centers• Managing utility system contracts and connection agreements for domestic, fire, and cooling water supply• Engineering, implementing and monitoring water treatment projects, developing scalable designs for regional deployment• Conducting root cause analysis and implementing corrective actions for water systems• Coordinating with local utilities to ensure compliance with federal, state, and municipal requirements • Tracking system reliability and maintaining water supply resiliency for data center cooling• Developing and implementing water sustainability initiatives• Overseeing installation, testing, and maintenance of water treatment equipment• Collaborating with internal teams (engineering, operations, real estate, EHS) to develop solutions in areas with limited infrastructure• Up to 25% travel as needed for project execution where authorized.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS• Bachelor’s Degree in Chemical/Environmental Engineering, Civil Engineering or Water Resources Planning - Planning Degrees are encouraged• 5+ years building relationships with utilities and negotiating contractual and commercial terms related to water and wastewater capacity and infrastructure development• 5+ years of project or program management experience with skills to balance multiple priorities in a fast scaling environment, and experience working with water chemistry and conventional/membrane water treatment technologies for industrial applications, specially data centers • 5+ years reading and interpreting construction drawings and equipment specifications and ability to carry design concepts through exploration, development, and into deployment/scalable implementation.• Fluent in English and PortuguesePREFERRED QUALIFICATIONS• Advanced degree in Chemical/Environmental/Civil Engineering or Water Resources /Infrastructure Planning • Experience reading and interpreting construction drawings and equipment specifications and able to carry design concepts through exploration, development, and deployment/scalable implementation • 8+ years of direct experience with the construction, operation, or maintenance of water treatment equipment fleet management. • Experience with fast track design/build projects and or multiple significant upgrade projects• 8+ years working with mechanical/plumbing systems related to data centers or similar buildings that use water infrastructure such as pumps, cooling towers, evaporative media, heat exchangers, air handling units, or air economizers.• 8+ years of project-related experience working with local or state government agencies, utilities, site development due diligence and/or permitting entities.• Fluent in SpanishAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,100/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.Are you excited about developing state-of-the-art Deep Learning, Computer Vision and GenAI models using large data sets to solve real world problems Do you have proven analytical capabilities and can multi-task and thrive in a fast-paced environment Do you enjoy the prospect of solving real-world problems that have not been solved at scale before Along the way, you’ll get to use machine learning to drive significant impact.We're seeking a Principal Applied Scientist with the ability to apply deep learning and generative AI techniques to conceptualize, promote, and execute innovative solutions for previously unsolved challenges. As an Applied Scientist at Amazon One, you will bring AI advancements to build foundational models for customer-facing identity/biometrics solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products.About the teamAmazon One within AWS provides innovative biometric identity solutions for customers, offering seamless, contactless palm-based authentication with the same on-demand scalability, reliability, and machine learning expertise that drive Amazon services. Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company.Why AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field- Experience with neural deep learning methods and machine learning- Experience programming in Java, C++, Python or related language- 5+ years of experience in building machine learning models for business applicationsPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

As part of the AWS Applied AI Solutions organization, we're advancing the frontier of computer vision and deep learning. Our vision is to develop sophisticated AI systems that can understand, interpret, and reason about visual information at human-like levels, enabling breakthrough applications across multiple industries. The TeamOur research team is tackling fundamental challenges in computer vision and deep learning. We're investigating novel approaches to how AI systems understand spatial and temporal relationships, reason about object interactions, and maintain contextual awareness across time. The RoleEveryone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. Key job responsibilities- Develop a novel framework to solve person tracking problem in the physical world- Advance the theory and practice of multi-object tracking, re-identification, pose estimation, and person activity understanding- Create innovative techniques for efficient visual processing that can scale to real-world applications- Investigate approaches to reduce the computational and data requirements of visual AI systemsA day in the lifeAs an Applied Scientist, you'll conduct fundamental research in visual reasoning while maintaining a clear path to practical applications. You'll investigate novel architectural approaches, develop new theoretical frameworks, and validate ideas through rigorous experimentation. You'll collaborate with other scientists and engineers to transform research insights into scalable solutions, publish your findings in top-tier conferences, and help shape the future direction of visual AI technology.About the teamAWS Applied AI SolutionsAs part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. we blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.About AWSDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.BASIC QUALIFICATIONS- PhD in Computer Science, Machine Learning, or related field (or MS with equivalent research experience)- Track record of publications at top-tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on multi-object tracking, re-identification, human activity understanding, or multi-modal LLMs- Strong background in computer vision, deep learning, and multi-modal foundation models- Experience with PyTorch or other deep learning frameworks- Demonstrated ability to transform research ideas into practical implementationsPREFERRED QUALIFICATIONS- Experience with large-scale model training and optimization- Contributions to open-source AI projects or research frameworks- Experience mentoring junior researchers and collaborating with engineering teams- Strong track record of turning research breakthroughs into practical applicationsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.It’s Day 1 for Amazon’s next billion dollar business and we are looking for a Sr SAP FICO Product Manager to work in a start-up environment who is passionate about technology and information systems, who thinks and acts globally, and has the ability to create and implement solutions.As the FI & CO expert, possess both the functional & technical background and that enables them to work with technology and a demonstrated ability to think broadly and strategically about Project Kuiper initiatives. They will experience a wide range of problem-solving situations requiring an understanding of business process and SAP configuration expertise. And able to design solutions, enhance and production support. Work closely with other SAP functional while designing and/or enhancement and support of these systems which is critical for scalability and cost-effective manufacturing of satellites and ground gateway terminals. To be successful you need to be highly motivated, detail oriented and effective communicator.Key job responsibilitiesManage a portfolio of projects related to SAP Finance and Controlling (FICO) module from design to deployment including integration with Amazon Corporate systems.Build deployment project plans and manage risks impacting successful delivery.Develop use cases by gathering business requirements, work with software development to build required features, clearly communicate dependencies and manage/track exceptioA day in the lifeGather requirement from Finance, Accounting & TaxCollaborate with other functional teamsConfigure SAP to business requirement Validate and provide business user trainingsBASIC QUALIFICATIONS- Bachelor’s degree in Finance, computer science or equivalent- Experience managing programs across cross functional teams, building processes and coordinating release schedules.- 5+ years’ experience working as a functional lead with SAP S4 HANA FICO modules (GL, AP , AR & Costing).- 5+ years’ experience in configuring SAP S/4 HANA FICO to meet business requirements, includinPREFERRED QUALIFICATIONS- Experience leading cross-functional teams to deliver products and online services on tight deadlines- Experience in building and driving solutions in S4 HANA FICO modules.- Experience with SAP Material Actual Costing and project systems- Expertise and in-depth knowledge of Make-to-Order processes.- Knowledge of SAP Vendor and Customer Consignment Processes.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $116,300/year in our lowest geographic market up to $201,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

An Integration and Automation Engineer in Project Kuiper - MAC Software Development team is responsible for (1) Integration of the the MAC sub-system with the control-plane, data-plane and radio subsystems of the satellite payload and ground systems, and (2) Test Automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.). The engineer will develop integration and test plans working closely with systems engineering, software engineering and hardware engineering and RF integration teams, and develop software in Python/C/C++/LabView for triggering system use cases, executing tests, collecting results and generating reports.Ideal candidate will have integration and test automation experience one or more areas of cellular wireless communication, optical fiber communications, satellite communications switching and routing, industrial control systems, aerospace or instrumentation engineering. Strong scripting skills required in Python and experience with exposure to LabView or similar. Experience of using RF test equipment is desirable. Experience with developing SW C/C++ will be desirable. Export Control RequirementDue to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities- Software development in Python/LabView/C/C++/Rust- Integration and test plans development closely working with systems engineering, software engineering and hardware engineering and RF integration teams- Develop integration and test automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.), for triggering system use cases, executing tests, collecting results and generating reports.BASIC QUALIFICATIONS- 5+ years of python / any scripting languagePREFERRED QUALIFICATIONS- 5+ years of Automated testing and pipeline managementAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

In this role you will be responsible for leading a technical team which is critical in providing profiling and optimization tools for the Neuron ML accelerators fleet. You will work closely with the hardware and software teams to ensure the right tools are available for performance profiling of large ML workloads, identifying bottlenecks and automatically providing improvement recommendations. Neuron Core Tools develops and maintains a family of profiling software and provides ability for performance engineers to develop and improve custom kernels that would impact efficiency of large workloads.Key job responsibilities* Provide technical leadership to the Neuron Core Tools team* Work closely with the frameworks and compiler teams.* Collect requirements from various other teams including training, inference and runtime.* Collaborate with the compiler performance team to ensure timely release of the core performance tools.* Anticipate future needs based on the product roadmap and develop necessary tools to increase efficiency in large scale compute.About the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.About Amazon Annapurna Labs:Amazon Annapurna Labs team (our organization within AWS UC) is responsible for building innovation in silicon and software for our AWS customers. We are at the forefront of innovation by combining cloud scale with the world’s most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design, software and operations. Because of our teams breadth of talent, we have been able to improve AWS cloud infrastructure in high-performance machine learning with AWS Neuron, Inferentia and Trainium ML chips, in networking and security with products such as AWS Nitro, Enhanced Network Adapter (ENA), and Elastic Fabric Adapter (EFA), and in computing with AWS Graviton and F1 EC2 instances.About AWS Utility Computing (UC):AWS Utility Computing (UC) provides product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.About AWS Neuron:AWS Neuron is the software of Trainium and Inferentia, the AWS Machine Learning chips. Inferentia delivers best-in-class ML inference performance at the lowest cost in the cloud to our AWS customers. Trainium is designed to deliver the best-in-class ML training performance at the lowest training cost in the cloud, and it’s all being enabled by AWS Neuron. Neuron is a Software that include ML compiler and native integration into popular ML frameworks. Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more.BASIC QUALIFICATIONS- 10+ years of engineering experience- 10+ years of planning, designing, developing and delivering consumer software experience- Experience partnering with product or program management teams- Experience as a tech lead of a large group of engineersPREFERRED QUALIFICATIONS- Experience designing and developing large scale, high-traffic applications- Experience with ML hardware/Software- Experience with ML compilers and custom kernels for AI.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Regulatory Intelligence, Safety, and Compliance (RISC) team is seeking an exceptional Applied Scientist to tackle complex compliance challenges. In this high-impact role, you will leverage your deep technical expertise and customer-obsessed mindset to design and evaluate state-of-the-art algorithms in risk modeling, computer vision, and natural language processing.You will translate complex business requirements into well-defined science problems and work collaboratively with product, engineering, and business stakeholders to drive real-world impact. Staying at the forefront of applied machine learning, you will continuously adapt your skills to tackle new challenges.Contributing to Amazon's scientific thought leadership, you will author high-quality research papers for internal and external conferences. This is an opportunity to apply your technical skills in a fast-paced, highly collaborative environment, making a meaningful difference in the lives of Amazon's customers.If you have a passion for solving complex problems and a customer-centric approach, we encourage you to apply for this exciting role.Key job responsibilities- Explore the use of reinforcement learning, multi-agent systems, and meta-learning to build autonomous AI agents that can adapt to new challenges and support complex decision-making.- Design and evaluate state-of-the-art algorithms and approaches in risk modeling, using techniques such as graph neural networks, deep learning, and boosted trees to detect anomalies, fraud, and policy violations.- Develop advanced multi-modal and large language models to classify product content, understand customer intent, and retrieve relevant information.- Collaborate closely with product managers, engineers, and business stakeholders to validate hypotheses, drive adoption, and maximize the real-world impact of your work.- Translate complex product and customer experience requirements into well-defined, measurable science problems and KPIs, contributing to Amazon's scientific thought leadership through high-quality research papers.A day in the life- Understanding customer problems, project timelines, and team/project mechanisms- Proposing science formulations and brainstorming ideas with team to solve business problems- Writing code, and running experiments with re-usable science libraries- Reviewing labels and audit results with investigators and operations associates- Sharing science results with science, product and tech partners and customers- Contributing to team retrospectives for continuous improvements- Participating in science research collaborations and attending study groups with scientists across AmazonBASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- 7+ years of building machine learning models for business application experienceAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

This is a unique opportunity to join a small, high-impact team working on AI agents for health initiatives, with a particular focus on language modeling and recommendation systems. You will collaborate with experts across domains to develop state-of-the-art AI solutions. You'll have the chance to work on projects that could significantly impact how individuals manage their daily health and long-term wellness goals.If you're passionate about solving meaningful problems in healthcare through AI, this role is for you. Technically, you'll work on large-scale data processing, algorithm development, and AI agent implementation. You'll have the chance to learn and innovate alongside healthcare experts.In this early-stage initiative, you'll have significant influence on what we build and how we build it. This is an excellent opportunity for high-judgment scientists to demonstrate impact and make key decisions.Key job responsibilitiesArchitect and implement AI agent systems for health applications. Drive rapid prototyping and deployment of innovative AI solutions into production. Deliver end-to-end AI solutions, from data pipelines to user interfaces. Spearhead best practices in AI engineering, including testing and continuous improvement.A day in the lifeYou'll work with a cross-disciplinary team to plan and deliver AI-driven health and wellness experiences. You'll shape product features, user experience, and team processes for rapid iteration. Expect to challenge conventional approaches and dive deep into customer problems in this evolving field.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.We are looking for a highly motivated and experienced SAP Procure to Pay and Logistics resource with expertise in SAP Supply Chain, Supplier collaboration leveraging E2O, and knowledge of integration to SAP Transportation Mgmt. The ideal candidate will oversee the technical and functional support in SAP S/4, E2Open, and integration with SAP TM and financial applications to ensure alignment with business objectives.Key job responsibilities• Analyze business and customer requirements related to SAP S/4 Procure to Pay, E2Open supply chain collaboration solutions, and SAP Transportation Mgmt.. Working with business, prepare technology roadmap to meet business medium and long term needs.• Develop feature design for SAP S/4, SAP TMS, and E2Open needs at Project Kuiper in-house manufacturing and outsourced manufacturing.• Define and prioritize product features and requirements for timely and successful delivery.• Communicate with internal stakeholders to align the product roadmap with business objectives.• Design, Architect, Configure, and Review SAP and E2Open systems to meet business requirements.• Participate actively in Unit Test, System Integration Test, User Acceptance Test, and Training.• Drive product discussion vision, goals, and monthly business review with executives, focusing on business users' adoption and support user training.BASIC QUALIFICATIONS- 3+ years of team management experience- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a productPREFERRED QUALIFICATIONS- Experience in software development- 10+ years of SAP hands on configuration, testing, deployment and post go-live support experience in Procure to Pay (Materials Management), Transportation Management (TM) and knowledge of integration with PLanning, FICO and EWMAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $149,700/year in our lowest geographic market up to $258,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Managing trillions of objects in storage, retrieving them in sub-x ms, building software that deploys to tens of thousands of hosts, achieving 99.999999999% (you didn’t read that wrong, that’s 11 nines!) durability. These are just a few of the numbers that give you a sense of the scale of the exciting problems you will find every day working in Simple Storage Service (S3). Amazon S3 powers businesses across the globe that make the lives of consumers better daily. Whether its electronic content delivered to your home, technology that betters your remote working experience, allows you to plan travel to exotic places or simply get stuff delivered to your home. As a Software Development Engineer in S3, you get to deliver these capabilities and delight our customers through teams of talented engineers and leaders. We are currently looking for a Software Development Manager to lead the development of S3's storage service. We build innovative software solutions to provide S3 customers secure, durable, high-available and performant storage with a low cost. In this role, you will drive the design and implementation of these storage solutions. You will define, plan and execute on deliverables that drive game changing performance and throughput improvements to S3's storage platform. You will partner with technical leaders and with other teams in S3 Storage to deliver these capabilities at S3 scale.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. About the teamAbout AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Engineers in AWS work to design resilient, cost effective Data Center facilities. Our team is responsible for achieving a world class uptime for our customers and drive to develop a fleet of buildings emphasizing security, safety, efficiency, and cost effectiveness, while finding new ways to meet AWS’s growing demand. As a DC Structural Engineer at AWS, you will be part of the design team for Amazon DCs in our Americas Region and impact other projects around the world. As a Structural Engineer at AWS you will be part of a highly creative and efficient design team comprised of Architects, Engineers and Designers tasked with solving problems and challenging the status quo. As a subject matter expert, you will have a direct impact on the design of prototypical DC facilities, provide technical guidance to team members, review milestone drawings by consultants, solve large scale implementation issues, and be responsible for structural design requirements. About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- ABET accredited Bachelor’s degree in civil or structural engineering. - 5+ years experience in structural design for industrial or commercial projects. - 3+ with design of Data Center, Mission Critical, Hospital, Schools, Commercial or Residential Tower facilities.PREFERRED QUALIFICATIONS- Professional Engineering (PE) License. SE Engineering license. - Proficiency in building codes, regulations, and standard including IBC and ASCE.- Proficiency in seismic analysis and design. Detailed understanding of tilt-up and precast concrete structures, structural steel systems, seismic design, wind loading, snow loading, and forensic analysis of building design and construction defects.- Experience in value engineering for building structural systems. Experience in design and calculation for auxiliary framing systems used to support cable tray, conduit, ductwork, etc.- Experience in design and review of non-structural components and non-building structuresAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $86,900/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators and the Trn1 and Inf1 servers that use them.As the Software Development Manager for the Tools Team, you will be responsible for leading a talented team of engineers to develop and maintain high-performance monitoring and profiling tools for machine learning applications and AI accelerators. You will oversee the design, development, and deployment of the Neuron Profiler and other Neuron Tools. The profiler plays a crucial role to internal and external customers in optimizing AI workloads across hardware platforms such as Trainium and Inferentia devices, by providing deep insights into performance bottlenecks and system behavior.In this role, you will manage the full development life cycle of the Neuron Profiler/Tools toolchain, ensuring scalability, reliability, and usability. You will collaborate with cross-functional teams to ensure that the our C++ compiler and runtime generates key information so customers can understand and optimize the performance of our custom hardware. Additionally, you will drive innovations that allow the profiler to support multiple frameworks, such as PyTorch, TensorFlow, and XLA.A successful candidate will have an established background in building AI/ML and performance analysis tools. Experience with ML-specific profiler tools (like PyTorch Profiler or TensorFlow Profiler) is highly desirable, along with along with direct customer-facing experience and a strong motivation to achieve results.A day in the life day in the life You will work with the executive leadership and other senior management and technical leaders to define product directions and deliver them to customers. We build massive-scale distributed training and inference solutions. This organization builds the full stack of software, servers and chips to accelerate at the highest scale.About the teamInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- * Experience partnering with product or program management teams- * Experience in C++, Go, and PythonPREFERRED QUALIFICATIONS- * 2+ years experience leading teams that in Machine Learning development including building and training large models, working with Pytorch and/or Tensorflow using large distributed fleets of GPU or other accelerated systems.- * Experience with Linux distributions such as Ubuntu or CentOS, kernel development, and tooling such as perf and gdb.- * Experience with performance profiling, tracing, and analysis of AI training/inference applications.- * Experience with large scale, distributed AI training/inference applications, including libfabric, MPI, slurm, and EKS.- * Experience with fleet monitoring, debugging, and reliability.- * Knowledge of AI-powered optimization suggestions for profiling would be an advantage for this position.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join our Generative AI focus team to revolutionize Software Development at AmazonAre you ready to be part of a team that's redefining the future of software engineering Our team is Amazon's ambitious initiative to pioneer AI development practices that will fundamentally transform how we build software at scale. Our MissionWe're creating the next generation of development tools and practices that will deliver unprecedented efficiency gains through AI-powered automation, intelligent code generation, and advanced developer experiences. What Makes Us Different* Ground-floor opportunity to shape the future of software development* Direct impact on Amazon's global engineering productivity* Working with the latest AI technologies and large language models* Culture of experimentation and innovative thinking What We're Looking ForWe are looking for world class researchers with experience in one or more of the following areas -autonomous agents, conversational AI, Search and Recommendation, RAG, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. What You'll Do* Design and implement AI-powered development tools and frameworks* Create intelligent automation systems for code generation and testing* Develop new methodologies for AI-assisted software development* Collaborate with teams across Amazon to drive adoption of new tools and practices ImpactYour work will directly influence how Amazon's vast engineering organization builds software, enabling faster, more reliable software delivery.Join us in writing the next chapter of software engineering history. The future of development is AI, and it starts here.and yes, what you just read was written in 15 seconds using AI...#AmazonTech #AIInnovation #SoftwareEngineering #FutureOfTechBASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Alexa Smart Home Business Development and Solution Architecture team is seeking an experienced Solutions Architect to help third-party developers integrate their products and services with Alexa. In this role, you will be the technical face of Amazon, working closely with top-tier third-party brands and developers to help shape the future of voice-driven experiences powered by Alexa. You will own key technical relationships with senior technical leaders/CxO in those organizations and be a hands-on architect and adviser throughout the lifecycle of their integration efforts.The Alexa Connect Kit (ACK) provides managed services to device makers, helping them create high-quality, connected smart home devices quickly and easily. ACK combines managed hardware modules with SaaS to simplify IoT development for device makers.You must have hands-on hardware and/or software development experience as well as experience working with third-party or external partners as a consultant, evangelist, solution architect, sales engineer, or pre-sales engineer. You must possess a blend of deep technical experience, customer facing skills, and the ability to align technology solutions to business challenges, with a commitment to driving mutually successful outcomes for Alexa customers and third-party developers.You must be able to think strategically about business, product, and technical challenges and map the intersection of partner needs and Amazon priorities. The ideal candidate will possess excellent customer engagement and communication skills as well as the ability to provide guidance and earn credibility with technologists and developers at all levels, from students to CIOs.Key job responsibilities* Provide technical consultation to product and engineering teams at strategic partners to facilitate the integration of their devices with Alexa* Educate partners of all sizes on the Alexa Connect Kit and participate in deep architectural discussions to ensure their devices are designed for successful launch.* Engage with ODMs, contract manufacturers, and factories to bring compelling Alexa Connect Kit enabled devices to customers worldwide.* Actively identify opportunities to deliver experiences that demonstrate what is possible on Amazon devices and services* Developing unique, compelling and exciting presentations and demonstrations of new Amazon technologies* Delivering persuasive, passionate, high impact, high quality presentations to senior decision makers* Document best practices and create development resources that can be used by other developers.BASIC QUALIFICATIONS- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience- BA/BS degree in Computer Engineering, Electrical Engineering or related field, or equivalent practical experience.- 5+ years of experience in computer architecture and embedded systems.- 5+ years of embedded development experience in C.- Knowledge of low-level drivers, interrupt service routines and general troubleshooting/debugging with hardware.- Excellent verbal and written communication skills.- Exceptional interpersonal and relationship management skills.- Demonstrated effectiveness working across multiple business units to achieve results.- Track record for being detail-oriented with a demonstrated ability to self-motivate and follow-through on projects.- Strong problem-solving skills; the ability to analyze problems and develop actionable and appropriate tactical plans quickly.PREFERRED QUALIFICATIONS- Master’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or related field.- Experience in firmware development and testing.- Experience with common bus protocols such as SPI, I2C, and UART.- Experience with software testing (unit, regression and system testing).- Knowledge of Unix/Linux environments and embedded Linux.- Prior experience with system bring-up, manufacturing line testing.- Prior experience in Python or analyzing sensor data (or interest in learning) is also a plusAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.We are looking for a highly motivated and experienced SAP Procure to Pay resource with expertise in SAP Supply Chain, Supplier collaboration leveraging E2O, and knowledge of integration to SAP GTS within a manufacturing environment. The ideal candidate will oversee the technical and functional support for software product development in SAP S/4, E2Open, and integration with SAP Global Trade and financial applications to ensure alignment with business objectives.*****This is an on-site role that requires employees to work from the company's office 5 days per week. Remote work is not an option for this position.*****Key job responsibilities• Analyze business and customer requirements related to SAP S/4 Procure to Pay, E2Open supply chain collaboration solutions, Global Trade and Logistics (Transportation management) with data integration solutions to/from Amazon corporate financial systems.. Working with business, prepare technology roadmap to meet business medium and long term needs.• Develop feature design for SAP S/4, SAP GTS, SAP TM and E2Open needs at Project Kuiper in-house manufacturing and outsourced manufacturing.• Define and prioritize product features and requirements for timely and successful delivery.• Communicate with internal stakeholders to align the product roadmap with business objectives.• Design, Architect, Configure, and Review SAP and E2Open systems to meet business requirements.• Manage integration across SAP models, including Materials Management (MM), finance (FICO), TM, E2Open , and Amazon financial system integration.• Participate actively in Unit Test, System Integration Test, User Acceptance Test, and Training.• Drive product discussion vision, goals, and monthly business review with executives, focusing on business users' adoption and support user training.A day in the lifeThis is an excellent opportunity to join Amazon's world class technical team working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative programs.About the teamBASIC QUALIFICATIONS- Experience owning/driving roadmap strategy and definition- Experience with feature delivery and tradeoffs of a product- Experience contributing to engineering discussions around technology decisions and strategy related to a product- Experience managing technical products or online services- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planningPREFERRED QUALIFICATIONS- Experience in building and driving adoption of new tools- Experience in using analytical tools, such as Tableau, Qlikview, QuickSight- 10+ years hands on experience in configuring SAP procurement, with integration to Transportation Management.- Integration experience of SAP to supplier collaboration tools like E2Open / Ariba and SAP Global Trade.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machine learning accelerators. This role is for a senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including state of art GEN-AI models and massive scale large language models like llama-4, Deepseeq and beyond, as well as stable diffusion, Vision Transformers and many more. The ML Apps team works side by side with chip architects, compiler engineers and runtime engineers to create , build and optimize performance and accuracy of state-of-art models. The team automates the ML techniques to evaluate, detect, debug and resolve accuracy issues raising from migration of model to AI accelerators. The team develops AI tool chain for optimizing performance and accuracy of state-of-art models. Key job responsibilitiesThis role will help lead efforts in building distributed inference support into PyTorch using XLA and the Neuron compiler and runtime stacks. Strong software development skills in C++/Python and ML knowledge are both critical to this role. The position will identify optimization opportunities by performing comparative analysis and benchmarking with alternative solutions. The role will develop and automate solutions to ensure the accuracy of AI accelerators while optimizing their performance. This position will develop a set of deep AI toolchains to simplify and abstract the low-level AI accelerator modules.A day in the lifeWork/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamAbout the teamOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.BASIC QUALIFICATIONS- 3+ years of programming using a modern programming language such as Java, C++, or C#, including object-oriented design experience- 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Fundamentals of Machine learning and deep learning models, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.PREFERRED QUALIFICATIONS- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

AWS Global Field Operations (GFO) provides the best end-to-end support for AWS products and services in non-traditional environments including Outposts Services. GFO brings native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or customer on-premises facility and edge sites. Customers can now use the same AWS APIs, tools, and infrastructure across their on-premises and the AWS cloud to deliver a truly consistent hybrid experience.We are looking for a GFO Technician who is an experienced and highly motivated Data Center Technician to install and support AWS deployments in non-traditional environments. As a GFO technician, you will maintain and operate the world’s largest cloud computing infrastructure across a number of local and remote locations across Americas. AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilitiesThis is a customer-facing role that requires strong technical, communication, and problem-solving skills. Your activities will include (but not limited to):• Build relationships with internal teams and customers along with innovating effective solutions to meet issues & problems as they arise• Conducting site assessments at various facilities to proactively prepare for the onsite installation of AWS equipment• Installing/expanding/provisioning AWS infrastructure at the third-party premises, data center, and/or non-traditional environment• Troubleshooting network installations & configurations and performing network testing, break/fix and/or decommissioning and solving complex problems• Proactively identifying and implementing strategies that prevent support issues and/or further enhance the customer experience• Conduct day-to-day business, both internally and with external customers• Required travel up to 30% on average. You will be required to travel between locations to install, service, and retrieve AWS equipment.• Physical ability to push and/or pull heavy objects into position (regularly lift up to 18kg and participate in team lifts of 30 kg)• May lead or participate in efforts to develop standard operating procedures (SOPs) and tools that improve operational efficiencies• May lead larger projects that require cross-functional alignment and support, including large-DC installations, global-reaching business initiatives, and/or development of mechanisms to support growth to ensure compliance with global group standards.• May be required to work at height to maintain AWS infrastructure equipment while adhering to AWS health & safety guidelines.• Most of all, you will have a passion for technology along with a desire to be the best at your job every day!About the teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 4+ years in data center operations or a similar technical environment2+ years of hands-on experience with data center equipment and rack installation- Basic knowledge of Linux servers, networking fundamentals (Layer 1/Layer 2), and TCP/IP- 2+ Experience working in a program management capacity and/or leading large-scale complex projectsPREFERRED QUALIFICATIONS- Degree in a technical field or 4+ years of relevant experience- Experience in a customer-facing role, with the proven ability to manage and effectively communicate expectations to clients- Proven ability to troubleshoot complex IT problems and identify root causes- Knowledge of power, cooling, cabling, networking hardware, inventory management, and automation- Proficiency in network operating systems (Cisco IOS, NX-OS, Junos)- Industry server and network certifications (CompTIA, CCNA/CCNP, etc.)Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $61,700/year in our lowest geographic market up to $138,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Are you excited to solve problems at the cutting edge of cloud computing Do you want to build and own services providing some of the key features at the core of Amazon's Elastic Cloud Compute (EC2) infrastructure Do you want to work hard, have fun, and make history If so come work for us in EC2 Networking!EC2 Networking is crucial for Amazon’s long-term success as a technology services company. It is the future of Amazon, and we are rapidly expanding our team to meet our fast growing needs. The EC2 team is looking for talented software engineers to help us build new innovative features driving the future of cloud computing, and the tools to help us operate in this space.We want people who are passionate about writing software for managing large dynamic networks. If you are an engineer with a solid background of delivering innovative solutions, then this is your opportunity to own major deliverables and all aspects of the development cycle: scoping, design, implementation, and testing. You will be encouraged to exercise your judgment in proactively determining and recommending the best features, designs, and support models based on business objectives, timelines, and resource constraints.Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the futureKey job responsibilities - Being the tech lead on the team, mentoring junior engineers, ensuring the right development practices are followed. - Being very hands-on; working with the engineering team to manage the day-to-day development activities by leading architecture decisions, participating in designs, design review, code review, and implementation. - Maintaining current technical knowledge to support rapidly changing technology, always on the look out for new technologies and working with management and development team in bringing new technologies. - Communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy For more information on Amazon Web Services please visit: http://aws.amazon.com/A day in the lifeA day in the life of an EC2 engineer is very hands on, with each day bringing new and exciting technical challenges to work through including architecture and design decisions, participating in code reviews, implementation, and project planning for current and future work. Additionally, there is a balance of operations related activities to participate in. Communication with external teams as well as AWS customers is also frequent and can be expected on a weekly basis.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Preserving Trust in Amazon with every customer, every account, every second is our mission. Amazon Account Integrity Buyer Risk Prevention (or BRP) works to ensure that customers are protected from scams and from bad actors trying to access their accounts. We've got the latest in machine learning algorithms, statistical modeling techniques and investigation tools but we need your help to keep Amazon.com safe. You’ll be part of a team working to protect Amazon’s most important asset, it’s customers, from targeted attacks from humans and bots.We're seeking a Software Development Manager to lead our mission-critical efforts in protecting Amazon's customers from sophisticated scams and fraudulent activities. You will be leading engineering teams that work alongside ML scientists to implement intelligent systems that identify and stop bad actors while ensuring our genuine customers enjoy a seamless experience.As a Software Development Manager, you will be responsible for leading a multi-functional team of engineers to design, develop, test, and launch cross-functional initiatives to build innovative safeguards for our customers. You will collaborate with ML scientists to translate sophisticated algorithms into scalable protection systems. You will navigate ambiguity and make data-driven decisions in an environment where threat patterns constantly evolve. You will drive the development of novel approaches that stay ahead of evolving deception patterns. This is an opportunity to solve complex protection challenges at unprecedented scale, where your team's innovations will shield millions of customer interactions daily. Working with ML experts, you'll help transform advanced algorithms into sophisticated defense mechanisms that operate efficiently and effectively.If you're a change driver who's energized by the challenge of leading teams that outsmart bad actors while driving technological innovation and productivity, we want to talk to you.Join us in making Amazon the safest place for our customer. BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers.As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities- Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation- Developing robust techniques for synthetic data generation for training large models and maintaining model generalization- Mentoring junior scientists to improve their skills, knowledge, and their ability to get things doneAbout the teamWe are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices.We are interdisciplinary and we act like it - we ask each other questions and value our different perspectives.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As the SAP Manufacturing Integration & Intelligence (SAP MII) developer, you will manage the design, development and implementation of SAP MII projects connected to Enterprise Systems that allow for the rapid development and production of Space Hardware. The implementation of these systems are critical to scalability and cost effective business operations. We are looking for candidates who thrive in a fast-paced, start-up like environment. To be successful you need to be highly motivated and detail oriented while showing highest standards of execution.You will conduct defect analysis and perform necessary fixes and improvements. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing. Review program codes and correct MII program errors. Maintain and update existing program codes as needed. Develop technical specification and estimations for assigned project. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.Key job responsibilities• Build SAP ME and SAP MII based solution and handle all the deployment related activities. Build reports and deploy. Integration with ERP and Shop Floor Systems.• Active participation in Integration Test, User Acceptance Test and MES startup to ensure success and meet customer requirements.• Ensure that the deployed applications perform as per customer expectations and there are no performance issues• Building Proof of Concepts (POCs) using SAP ME and SAP MII as the service based on the business requirements• Lead the solution design and develop SAP MII applications to populate real and historical data extracting information from data sources Kepware, SAP S/4 HANA and shop floor systems (MII, Historian, etc.) for reporting and analysis.• Support improvement for areas including PP-PI, QM, MM, PM, PCo, and Scheduling.• Develop Web applications using SAP MII, PCo, Kepware, and SAP S/4 HANA• Develop Printing labels, Travelers documents, and purchase order receipt label, process order receipts, and shop floor forms in MII system.• Improve performance of the applications and servers through Performance tuning/sizing of servers, and changing the design and fine tuning the SQL queries.• Support various testing procedures (Unit testing, Integration testing, class room testing, shop floor testing).A day in the lifeYou will conduct defect analysis and perform necessary fixes and improvements. Collaborate with functional owners, architects and other personnel to develop dynamic and flexible systems to meet the emerging demands of internal customers in manufacturing. Review program codes and correct MII program errors. Maintain and update existing program codes as needed. Develop technical specification and estimations for assigned project. Work in compliance with the programming and documentation standards and solve production problems in a timely manner.About the teamProject Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.Our team focuses on building Enterprise System Applications for manufacturing satellites. Your customers are Manufacturing, Operations and the Supply Chain teams at Kuiper.BASIC QUALIFICATIONS- Experience leading the design, automation, deployment, and support of large-scale infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Experience with CI/CD pipelines build processesPREFERRED QUALIFICATIONS- Experience with distributed systems at scaleAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world At Amazon, you’ll say it often. Join us and define tomorrow.Do you want to solve business challenges through innovative technology Do you enjoy working on cutting-edge, scalable services technology in a team environment Do you like working on industry-defining projects that move the needle At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.Inclusive Team Culture: Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life Balance: Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.Mentorship & Career Growth: Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.*Utility Computing (UC)*AWS Utility Computing (UC) provides product innovations from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.**Why AWS**Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.**Work/Life Balance* *We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.**Inclusive Team Culture* *Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.**Mentorship and Career Growth**We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Over the past 20 years, Amazon has reinvented on behalf of the consumer and has become one of the largest internet retailers in the world. Amazon is now reinventing on behalf of the business customer and is building the most innovative Business-to-Business (B2B) online store in the world.At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.The Analytics Data Product & Tech (ADAPTech) team is a strategic partner to the WW Sales organization, playing a key role in driving sales productivity through three primary workstreams. First, the Analytics team provides data-driven insights and reporting tools to measure business, customer, and employee performance. Second, the Products and Science team develops transformative tools that help Account Executives (AEs) to prioritize accounts, recommend product features, and engage more effectively with customers. Finally, the Data Management and Governance teams ensure AEs have access to accurate and enriched customer information across our tools. We're seeking an Applied Scientist to join our team working on AVA, Amazon Business's AI-powered email automation system. You'll be part of expanding AVA's GenAI capabilities and scaling its impact across global markets.A successful Applied Scientist at Amazon demonstrates bias for action and operates in a startup environment, with leadership skills, and proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and Generative AI techniques to improve our customers’ experience when using AB. You have hands-on experience making the right decisions about technology, models and methodology choices.Key job responsibilitiesAs an Applied Scientist, you will primarily leverage machine learning techniques and generative AI to outreach customers based on their life cycle stage, behavioral patterns, and purchase history. You may also perform text mining and insight analysis of real-time customer conversations and make the model learn and recommend the solutions. Your work will directly impact the trust customers place in Amazon Business.You will partner with product management and technical leadership to identify opportunities to innovate customer journey experiences. You will identify new areas of investment and work to align product roadmaps to deliver on these opportunities. As a science leader, you will not only develop unique scientific solutions, but also play a crucial role in shaping strategies.Additional responsibilities include:-Design, implement, test, deploy and maintain innovative data and machine learning solutions to further the customer experience.-Create experiments and prototype implementations of new learning algorithms and prediction techniques-Develop algorithms for new capabilities and trace decisions in the data and assess how proposed changes could potentially impact business metrics to cater needs of Amazon Business Sales-Build models that measure incremental value, predict growth, define and conduct experiments to optimize engagement of AB customers, and communicate insights and recommendations to product, sales, and finance partners.A day in the lifeIn this role, you will be a technical expert with significant scope and impact. You will work with Technical Product Managers, Data Engineers, other Scientists, and Salesforce developers, to build new and enhance existing ML models to optimize customer experience. You will prototype and test new ideas, iterate quickly, and deploy models to production. Also, you will conduct in-depth data analysis and feature engineering to build robust ML models.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with SQL, Python and Data Warehouse- Experience in building text/speech recognition, machine translation and natural language processing systems (e.g., emails, phone conversations)PREFERRED QUALIFICATIONS- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience working on personalisation, customer journey analysis and realtime chatbot interactions.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world.As a Senior TPM for Kuiper Enterprise Technology, you will be responsible for managing multiple projects across Kuiper enterprise applications suite of SAP systems. You will anticipate bottlenecks, use high judgment to make trade-offs, and balance the business needs with technical constraints. Your ability to understand the big picture of the project design and anticipate and plan dependencies is crucial as well to take large, complex projects, break them into manageable pieces, and deliver timely results is crucial. Key job responsibilities• Understand business requirements working with PMT, Business stakeholders, super users• Work with engineering teams (SAP Developers, Functional designers, process designers, security, Admin and other members) to understand the effort needed • Build project plans and sprint schedules understanding engineering team bandwidth• Manage dependencies inside and outside of the team to get the team answers on time, unblock the team and execute to aligned project plan and business need by dates• Identify and escalate risks, manage issue resolution• Bring in project management best practices , setup right processes, align with existing processes to delivery results• Earn trust from the engineering team, stakeholders and leadership• Setup Jira and other tools used for capturing and running projects and sprint cadenceExport Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. This role requires ability to advocate on behalf of our customers (internal and external) and an ability to push back without being adversarial.You will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.About the teamHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. Amazon has ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. At Amazon, our mission is to be the most customer-centric company on Earth. To get there, we need exceptionally talented, bright and driven people. We're dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.BASIC QUALIFICATIONS- 5+ years of technical product or program management experience- 7+ years of working directly with engineering teams experience- 3+ years of software development experience- 5+ years of technical program management working directly with software engineering teams experience- Experience managing programs across cross functional teams, building processes and coordinating release schedulesPREFERRED QUALIFICATIONS- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadershipAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $133,900/year in our lowest geographic market up to $231,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join us in revolutionizing how millions of customers discover and interact with the web. The Silk team is building the next evolution of browsing - one that transforms passive web consumption into an intelligent, AI-powered experience that understands and anticipates user needs.About the RoleAs a Senior Applied Scientist on the Silk team, you'll be at the forefront of defining and building the future of web browsing in the AI era. This is a unique opportunity to shape both the scientific vision and product direction of a next-generation browser that will fundamentally change how customers shop, discover content, and engage with the web. You'll have the freedom to innovate across multiple advanced domains including:- Large language models and generative AI for intelligent browsing assistance- Advanced recommender systems for personalized content discovery- Natural language processing for deep web content understanding- Novel AI applications that transform traditional browsing paradigmsWhy This Role MattersThe browser is one of the most fundamental tools of the modern internet, yet the core browsing experience has remained largely unchanged for decades. At Silk, we're reimagining what a browser can be by integrating advanced AI capabilities that make web interactions more intuitive, efficient, and valuable for our customers. As a senior scientific leader, you'll have unprecedented opportunity to:- Define and own the technical vision for AI-powered browsing experiences that impact millions of users- Pioneer new approaches to web interaction that combine browsing with intelligent assistance- Build novel solutions that bridge content discovery, shopping, and entertainment- Drive innovation in areas like intelligent content summarization, shopping assistance, and AI-powered browsing tools- Shape the future of how customers interact with the vast knowledge and capabilities of the webImpact and LeadershipThis role combines scientific leadership with product ownership and technical execution. You'll:- Lead the definition and development of Silk's AI strategy and roadmap- Drive technical decisions that shape our product direction- Mentor and grow other scientists while building a culture of innovation- Collaborate with product and engineering leaders to bring scientific innovations to life- Influence the broader direction of Amazon's AI initiativesKey Responsibilities- Conceptualize and lead innovative research in ML and AI that transforms web browsing- Design scalable AI solutions that power next-generation browsing experiences- Guide technical approaches for complex ML projects while working with cross-functional teams- Drive deep data analysis to uncover customer insights and identify new opportunities- Work closely with engineering teams to bring ML innovations to production- Lead improvements in model scalability, efficiency, and automation- Stay at the forefront of ML research and apply relevant innovations- Contribute to Amazon's scientific community through publications and knowledge sharingWhy You'll Love ItYou'll work on challenging problems at massive scale while having direct impact on how millions of customers interact with the web daily. Our team combines the innovative culture of a startup with the resources and scale of Amazon. You'll have:- End-to-end ownership of scientific solutions that power next-generation browser experiences- Freedom to experiment with new ideas and approaches- Access to vast computational resources and unique datasets- Opportunity to work with and learn from world-class scientists and engineers- Direct influence on product strategy and technical direction- Platform to publish research and contribute to the scientific communityJoin us in building the future of intelligent web browsing that combines AI innovation with customer-centric experiences. This is your opportunity to reimagine one of computing's most fundamental tools and shape how the next generation discovers and experiences the web.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Software Builder Experience (ASBX) organization that serve's Amazon's huge internal builder community is looking for a talented software development manager to lead the evolution of compute metadata for the massive internal compute clusters that power applications across the company, including AWS services like S3, SQS, DynamoDB, and IAM, as well as Amazon.com, Alexa, Prime Video, and more.This is an opportunity to work with some of the best and brightest in the industry, while innovating on new products and solutions and reinforcing AWS's strength in cloud availability. You will work in a team setting, solving technically challenging problems, as well as collaborating with other teams in Amazon Web Services, and Amazon's entire software development community.If you have what we’re looking for, come join a strong team in a highly-visible organization. You will have a significant impact on Amazon. Help us to create the next generation of systems that underpin the cloud, and delivering on the promise of elastic capacity at Amazon scale. We want to make it as easy as possible for application owners to create rapid change, and we need people who are excited to make managing applications in the cloud work for everyone.Key job responsibilitiesAs Software Development Manager in ASBX, you’ll be empowered to take ownership of a broad range of responsibilities, such as: * Directly hiring, retaining, and growing top engineering talent for your team.* Being a clear technical voice, partnering with other teams to deliver a service which will scale with the needs of the Amazon business. * Reliably delivering high quality technical solutions that will delight our customers. * Operating a critical service for the Amazon business.A day in the lifeYou will have the opportunity to lead and develop your team. You will drive feature delivery through all phases of the software production cycle including design, development, testing, deployment, operation and maintenance. We own and build every aspect of our services, from UI to back-end systems and databases. Because our technology plays a key role in Amazon’s ability to innovate you will have the chance to productively collaborate with a very large number teams.10025BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teamsPREFERRED QUALIFICATIONS- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy- Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineersAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $166,400/year in our lowest geographic market up to $287,700/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company Do you enjoy collaborating in a diverse team environment If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- A PhD in CS, Machine Learning, Statistics, Operations Research or relevant field- 6+ years of industry experience in predictive modeling and analysis- Strong Machine Learning breadth and depth- Strong skills with SQL- Strong skills with Spark/Python/Perl (or similar)- Ability to think creatively and solve problems- Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teamsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Come join the Alexa Audio team working on Alexa+, a completely new product that powers all of our devices and services. This is an opportunity to work with latest machine learning techniques, and inventing the future. Alexa Audio is responsible for fulfilling customers requests for all types of audio content (Music, Radio, Podcasts, Books, generative audio) across all Alexa enabled devices. This covers a broad set of experiences including search, browse, recommendations, playback, and multi-device grouping and controls. We are seeking a talented, self-directed Applied Scientists who would come up with state of the art search and recommendation techniques, and help develop new generative experiences. This is a unique opportunity where you will be working on latest technologies including LLMs, and also see it impact customer's lives in meaningful ways.Responsibilities - Apply advance state-of-the-art artificial intelligence techniques and develop algorithms in areas of personalization, voice based dialogue systems and natural language information retrieval. - Design scientifically sound online experiments and offline simulations to study and improve products. - Work closely with talented engineers to create scalable models and put them to production. - Perform statistical analyses on large data sets, identify problems, and propose solutions. - Work with partner science teams to identify collaboration opportunities.Work hard. Have fun. Make history.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Sr. System Development Engineer, you will build tools and processes for monitoring, operating, and scaling ground infrastructure to millions of users around the globe. Use and enhance the tools you and the team develop. Using metrics, scalability in design, and continuous improvement, you will automate repetitive processes to eliminate outages and enable high availability of the ground infrastructure. Key job responsibilities - Continuously strive for operational excellence by seeking to automate away manual processes - Ensure that all systems are designed to be robust, scalable, maintainable and adaptable as the service scales and evolves over time - Build and maintain critical infrastructure, tools and operating procedures to report on the health of ground infrastructure.- Integrate with other existing systems such as trouble ticketing, dashboards, and metrics tools and services- Measure and improve the performance and availability of the Kuiper Ground Infrastructure - Provide critical operations support and incident response for the service, while taking part in an on-call rotationA day in the lifeMentoring, Design, Coding, Operational Excellence: Work with business partners, leadership and other engineers, influence and lead the design of systems. We need your ideas and your ability to take initiative, innovate, and produce results as we continuously improve the customer experience. Day to day work will vary between automation or other scripting work, operational excellence initiatives, design meetings, coordination with engineering teams and external partners, and an on-call rotation.About the teamThe team is comprised of a leader and System Development Engineers in North America, Europe and Australia. The overall mission is to ensure Kuiper Ground Infrastructure is always available to serve customers.BASIC QUALIFICATIONS- 4+ years of deploying and operating in a Linux/Unix environment experience- Knowledge of at least one modern programming language such as C, C++, Java, or Perl- Practical experience in networking, storage systems, operating systems and hands-on systems engineering experience- Designing or architecting (design patterns, reliability and scaling) of new and existing systemsPREFERRED QUALIFICATIONS- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders- Curious to learn in depth about both technology and our customers- A curious self-starter with a proven track record of diving into unknown territory, learning new concepts, and pushing your comfort zone.- An effective multi-tasker who navigates a fast-paced, deadline-driven environment with grace and efficiency.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon Science gives you insight into the company’s approach to customer focused scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.Are you an expert in Natural Language Processing (NLP) and Large Language Models (LLM) Are you interested in building Agentic AI solutions on complex business problems that have significant global benefit. The Brand Protection team designs and builds high performance AI systems using LLM and machine learning that identify and prevent abuse and counterfeit on behalf of brand owners worldwide. We are looking for a highly talented scientist to help build of our vision for agent-based intellegent automation. As a senior applied scientist on the team, you will use NLP and LLM techniques to built automated AI solutions that thinks like human to assist decision making and eventually make autonomous decisions that impacts millions of brands, selling partners and customers. You will work backwards from data insights and customer feedback to build the right machine learning solutions, collaborate with other domain experts in finding innovative solutions to unsolved problems. You will work closely will product team and engineering partners to launch the solution into production and owning the end-to-end solution.An ideal candidate should have extensive experience driving large-scale Machine Learning initiatives, specially in GenAI and LLM applications, from conception to launch in a rapidly evolving environment. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Major responsibilities: - Understand business challenges by analyzing data and customer feedback - Collaborate with tech and product teams on building ML strategies, experimentation, implementation and continuous improvement - Analyze and extract relevant information from large amounts of both structured and unstructured data to design strategies to solve business problems. - Use NLP, LLM and machine learning techniques to create scalable solutions for business problems - Create business and analytics reports and present to the senior management teams - Research and implement novel AI solutions and publish research papersAbout the teamHere at Selling Partner Services, we embrace our differences. We are committed to furthering our culture of inclusion. We have 14 employee-led affinity groups, reaching 10,000+ employees in chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our DEI Ambassador Program. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 4+ years of building machine learning models or developing algorithms for business application experience- 3+ years of building machine learning models for business application experience- Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)- Experience with neural deep learning methods and machine learning- Experience programming in Java, C++, Python or related language- PhD, or Master's degree and 6+ years of applied research experience- 5+ years of applied research experiencePREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Join our Kuiper MAC Software team to revolutionize global connectivity through satellite communications. As a key innovator, you'll develop mission-critical embedded firmware that powers our ground terminal networks and satellite systems, directly impacting millions of users worldwide.We're looking for a talented software engineer to architect and optimize Media Access Control (MAC) layer solutions for our next-generation satellite communication platform. You'll work at the intersection of space technology and wireless communications, leveraging your expertise in:- Bare-metal embedded systems- Embedded Linux development- Modern systems programming (Rust/C)This role offers a unique opportunity to shape the future of satellite communications while working with a diverse team of industry experts. Your code won't just run on Earth - it will operate in space, helping bridge the digital divide and connect the unconnected.The Role- Design and implement MAC layer protocols for wireless communication systems- Develop efficient real-time software for resource-constrained embedded platforms- Optimize protocol performance for latency-sensitive applications- Interface with PHY layer implementations and higher network stack components - Collaborate with hardware teams for efficient hardware/software integration - Develop automated testing frameworks for protocol validationA day in the lifeCome work at Amazon! We need people who want to join an ambitious program that continues to push the state of the art in space-based systems design. Come help us solve the difficult and rewarding development challenges in building highly reliable, power efficient and low-cost satellite avionics!About the teamOur team tackles many critical satellite functions including power management, hardware interfaces, command & telemetry, and autonomous control. We are looking for an outstanding software engineer to participate in all phases of software development from requirements through implementation and test to operations.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Are you seeking an environment where you can drive innovation Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems Do you want to play a key role in the future of Amazon's Retail business This job for you! The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, implementation of tools used to understand customer behavior and value generation for all Amazon programs. Come and join us!Amazon’s CBA team is looking for ML Scientists, who can work at the intersection of economics, statistics and machine learning; and leverage the power of big data to solve complex problems like long-term causal effect estimation.BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As an RF Engineer you will engage with an experienced cross-disciplinary team to develop new, advanced test systems for our Digital Phased Array systems, integrating them with our existing test infrastructure. We have near field spherical scanners, robotic manipulators and advanced RF optics that account for some of the fastest antenna characterization systems in the world, but we need to keep expanding our test coverage and improve accuracy and tighten repeatability. These systems employ RF and mixed signal electronics that allow us to test antennas from 400 MHz to 40 GHz. We need to also expand coverage to V band as well as multiply the test speed and capacity.Key job responsibilitiesYour will leverage your experience in RF electronics to design new acquisition systems, and troubleshoot existing ones looking at the acquired results in both near field and far field, and thus isolate issues relative to RF circuit, test equipment, setup, array calibration and software/RF system. You will exercise pragmatism and write automation code (Python, SCPI, C/C++, Rust) to devise test setups and procedures that are simple, easy to develop and maintain, yet able to perform all requirement verification tasks. You’ll use documentation and communication skills to report test metrics and requirement pass/fail to Antenna designer, Array designers, Software team, and other teams.Key job responsibilitiesDevelop our test infrastructure to measure antenna performance metrics of digital phased array systems and customer terminals in near and far field chambers, and automate the tests.Define test plans and procedures for lab and chamber testing, ensuring the required test coverage to verify requirements and validate modelsDevelop automation routines to control equipment (ATE) and our custom-made antenna test system to accelerate antenna beam pattern test.Implement, validate, and optimize lab and chamber test configurations.Develop required post-processing to analyze test results.Document and interpret test results, troubleshoot issues, performing root-cause analysis for any test failures.Communicate status and issues effectively with developers and managers.Meet with suppliers to select enabling lab technologies.Shepherd antennas and customer terminals through test campaigns throughout the development lifecycle, from concept to implementation to integration.About the teamThe Kuiper Antenna Test Infrastructure team provides the test systems and techniques to verify Payload, CT and full satellite vehicle hardware, integrates the test automation and connects the dots between Responsible Engineers and their product's test metrics. The team is a pivotal point for a multitude of other teams and orgs, our internal customers. An it's highly multidisciplinary: SysDE, SDE, ME, Metrology, Antenna, FPGA and Lab Ops all converge in the same room.BASIC QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience in developing functional specifications, design verification plans and functional test procedures- 5+ years of professional, non-internship experience EM modeling in 2.5D and 3D EM tools- 5+ years of experience in RF design and modeling with linear and non-linear simulation tools- 5+ years of experience with MATLAB- Professional, non-internship experience with design, implementation and verification with launched RF products.- Experience with lab work and RF test equipment- Experience with Automation of Test EquipmentPREFERRED QUALIFICATIONS- Experience working with interdisciplinary teams to execute product design from concept to production- Experience with the project management of technical projects- Experience in the design of complex mechanical products and equipment at volume- Preferred qualifications- MSc or PhD in EE with RF- or antenna-related thesis research- Strong foundations in RF Electronics- Strong foundations in Digital communication systems- Strong foundations in antennas- Excellent mathematical skills- 5+ years of professional, non-internship experience designing RF products and building blocks such as filters, hybrids, combiners, active RF circuits and front-end design- 2+ years of experience programming Automated Test Equipment- Experience with testing of digitally modulated signalsAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Customers love discovering what is trending, esp. shopping in categories like fashion where customers are looking for inspiration and fashionable styles. Trending products spark curiosity, build confidence, and reassure them they’re making smart choices. Highlighting these trending items and brands on Amazon not only satisfies their desire to stay current but also enhances the overall shopping experience, driving deeper engagement. This newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. We're looking for a lead Sr. Applied Scientist who can play the thought leadership role for this ML-focused Trends program as well as collaborating with Product leaders, engineering teams and other scientists to deliver scalable solutions with large business and customer impact.Key job responsibilities- Lead complex projects that design and build LLM and ML solutions identifying trending themes and recommendations, as well as AI agents to provide trends insights. - Collaborate with own and partner teams on customer-facing experiences that will utilize the data and ML models to better serve customers discovery needs on trending products and brands.- Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.- Drive continued scientific innovation as a thought leader and practitioner.- Provide technical and career development guidance to scientists and engineers in the organization.About the teamThis newly formed charter in North America Store (NAS) focuses on developing various LLM and ML-driven trend signals (e.g. vital trends, fashionable trending styles, seasonable trends, locale trends, sports or events/holiday trends, niche and trending brands) and solutions leveraging both Amazon internal and external world knowledge to help customers easily discover trending brands and products on Amazon, and enable us to surface these high-interest products in real time and empower any team across Amazon to tap into this intelligence for their specific use cases. In addition, we're in this early stage of exploring exciting opportunities to build AI agents to provide marketing and other clients trend insights to assist clients making the right business decisions. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

An Integration and Automation Engineer in Project Kuiper - MAC Software Development team is responsible for (1) Integration of the the MAC sub-system with the control-plane, data-plane and radio subsystems of the satellite payload and ground systems, and (2) Test Automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.). The engineer will develop integration and test plans working closely with systems engineering, software engineering and hardware engineering and RF integration teams, and develop software in Python/C/C++/LabView for triggering system use cases, executing tests, collecting results and generating reports.Ideal candidate will have integration and test automation experience one or more areas of cellular wireless communication, optical fiber communications, satellite communications switching and routing, industrial control systems, aerospace or instrumentation engineering. Strong scripting skills required in Python and experience with exposure to LabView or similar. Experience of using RF test equipment is desirable. Experience with developing SW C/C++ will be desirable. Export Control RequirementDue to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities- Software development in Python/LabView/C/C++/Rust- Integration and test plans development closely working with systems engineering, software engineering and hardware engineering and RF integration teams- Develop integration and test automation for driving the MAC-SW running on Kuiper payload HW and the RF instrumentation and test set ups (VSA, VNA, VSGs, Satellite Channel Emulators, anechoic chamber control etc.), for triggering system use cases, executing tests, collecting results and generating reports.BASIC QUALIFICATIONS- 4+ years of non-internship professional software development testing experience- 2+ years of test automation frameworks and tools building experience- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented designPREFERRED QUALIFICATIONS- Knowledge of overall system architecture, scalability, reliability, and performance in a database environment- 4+ years of test automation frameworks and tools building experience- Experience debugging, diagnosing, and troubleshooting complex, production software issuesAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Join us in the evolution of Amazon’s Seller business! The Seller Growth Science organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we catalyze SP growth with comprehensive and accurate data, unique insights, and actionable recommendations and collaborate with WW SP facing teams to drive adoption and create feedback loops. We strongly believe that any motivated SP should be able to grow their businesses and reach their full potential supported by Amazon tools and resources.We are looking for a Senior Applied Scientist to lead us to identify data-driven insight and opportunities to improve our SP growth strategy and drive new seller success. As a successful applied scientist on our talented team of scientists and engineers, you will solve complex problems to identify actionable opportunities, and collaborate with engineering, research, and business teams for future innovation. You need to be a sophisticated user and builder of statistical models and put them in production to answer specific business questions. You are an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. You will continue to contribute to the research community, by working with scientists across Amazon, as well as collaborating with academic researchers and publishing papers (www.aboutamazon.com/research).Key job responsibilitiesAs a Sr. Applied Scientist in the team, you will:- Identify opportunities to improve SP growth and development process and translate those opportunities into science problems via principled statistical solutions (e.g. ML, causal, RL).- Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in MLOps.- Design and lead roadmaps for complex science projects to help SP have a delightful selling experience while creating long term value for our shoppers.- Work with our engineering partners and draw upon your experience to meet latency and other system constraints.- Identify untapped, high-risk technical and scientific directions, and simulate new research directions that you will drive to completion and deliver.- Be responsible for communicating our science innovations to the broader internal & external scientific community.BASIC QUALIFICATIONS- 4+ years of applied research experience- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learningPREFERRED QUALIFICATIONS- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.As a Senior System Development Engineer, you will architect the HW/SW infrastructure for test automation for Satellite Payload Antennas and Customer Terminals. These products are complex systems that incorporate a Linux Embedded OS, with which you will interface. You will be responsible for conducting thorough code reviews of both your own and others' merge requests while developing a comprehensive test framework. This framework will enable the creation, tracking, updating, and execution of repeatable, discoverable tests, while collecting critical measurements and streamlining test verification processes.Your role will also involve designing Radio Frequency (RF) and Over The Air (OTA) test systems for antenna products, focusing on expanding test coverage, integrating complex testing scenarios, and improving test accuracies. Working hand in hand with Responsible Engineers (RE) who oversee antenna products and collaborating with our multidisciplinary antenna testing team, you will capture these efforts in detailed test procedures.A key aspect of your position will be serving as a liaison between Software Teams, external resources (including test equipment vendors), and REs. In this capacity, you will establish and implement Aerospace validation and verification processes, incorporating automated testing into various procedures including Design Verification (DVT), Acceptance Testing (ATP), Qualification Testing (QTP), and Payload integration testing.Key job responsibilities- Design new antenna test systems using RF equipment (VSA, VSG, GNSS simulators, digitizers, switches), RF up/down-converters, FPGA-based Digitizers, and controllers of motorized and electrically switched axes.- Inspect the control hardware currently installed, and use that information to architect and design an acquisition system with TTL and TCP/IP controls- Determine automation requirements across the internal and external teams- Develop test frameworks for loading software builds and configuration, managing test cases, storing test configurations, executing test runs, logging metrics, and pipe the data.- Develop automation services to optimize measurements, data management and analysis for antenna and customer terminal verification- Train internal and external teams on test automationAbout the teamThe Kuiper Antenna Test Infrastructure team provides the test systems and techniques to verify Payload, CT and full satellite vehicle hardware, integrates the test automation and connects the dots between Responsible Engineers and their product's test metrics. The team is a pivotal point for a multitude of other teams and orgs, our internal customers. And it's highly multidisciplinary: SysDE, SDE, ME, Metrology, Antenna, FPGA and Lab Ops all converge in the same room.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of non-internship professional software development experience- 3+ years of deploying and operating in a Linux/Unix environment experience- Experience leading the design, automation, deployment, and support of large-scale infrastructure- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Strong sense of ownership and drive- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Experience with version control systems and code repositories- Experience in development of hardware automation and test systems- Experience with Hardware/Software system bring up and debuggingPREFERRED QUALIFICATIONS- Experience in mentoring, leading, or managing more junior engineers- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders- Experience with RF testing and equipment, like Spectrum Analyzers, VSA, VSG, GNSS simulators- Experience in Signal Processing- Experience building services using AWS products- Excellent mathematical and problem-solving skills- Highly accurate and detail-orientedAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Outbound Communications organization is seeking a highly motivated Senior Research Scientist. In Outbound, we are innovating and building scientific solutions to delight Amazon customers with timely, highly personalized and relevant messages across digital channels such as email, mobile push notifications, WhatsApp and SMS. As a Sr. Applied Scientist in Outbound, you will architect and develop the scientific models for the next generation Outbound message management service that sends 100s of millions of communications (push, email, etc) to worldwide Amazon customers everyday plausibly within minutes of customer-actions on amazon.com. The models handle decisions such as scheduling and optimization across message-ranking, timing and frequency across these messages that drive $20B+ of annual revenue for Amazon. You will use techniques such as reinforcement learning and multi-armed bandits (MAB) to optimize long-term engagement of customers with Amazon. The models and architecture you build ensure a high bar for customer experience through scientifically established guardrails that would use large language models (LLMs). You will own and present research artifacts to internal and external science forums, along with influencing senior leadership and stakeholders for strategic decision-making.Key job responsibilitiesAs a Sr. Applied Scientist in Outbound, you will design and develop science models in a highly ambiguous message-management domain that handles scheduling and dispatch decisions of 100s of millions of messages everyday. These models will decide what messages we send to customers, at what times, and through what channels to optimize the long-term customer engagement. You will research and apply state of the art modeling methods such as reinforcement learning, bandits, neural networks, causal modeling methods and LLMs to optimize the message selection, timing and channel of communication for customers. At the crux of architecting these models is influencing the software design of the new message management service responsible to send these messages to customers in span of minutes from when a customer takes actions on-site. You will partner closely with the software engineering and product managers to come up with an ideal design of science architecture that considers design tradeoffs in context of software constraints and user requirements. You will design and analyze experiments that enable quick iteration of model development and learnings as Outbound’s message-management service evolves. You will present scientific findings to senior leaders; and technical, business and product stakeholders to guide for decisions that maximize benefits for Amazon in the long-run. You will mentor junior scientists in the team. You will coordinate with broader Amazon science teams to align your research and scientific design choices with the broader Amazon’s customer objectives. You will document and publish your research-driven artifacts to influence the scientific community in and outside of Amazon.BASIC QUALIFICATIONS- PhD and 4+ years, or Master's degree and 8+ years of industry experience in a quantitative discipline.- 4+ years of experience investigating the feasibility of applying scientific principles and concepts to business problems.- 4+ years of experience with advanced machine learning methods such as neural networks, reinforcement learning, natural language processing.- 4+ years of experience with programming languages such as python, C++, Java.- 4+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc.- 2+ years of experience communicating findings and details of quantitative research methods to non-quantitative audiencePREFERRED QUALIFICATIONS- 2+ years of experience with discrete and continuous optimization methodologies and algorithms- 2+ years of experience working in software system design.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.The RoleThis role of a Software Engineer who will design, implement, and operate globally available distributed systems geared towards giving Kuiper the ability to operate within realistic virtual Kuiper environments at scale. You’ll build systems using the latest AWS technologies, leveraging best-in-industry software engineering practices.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.Key job responsibilities- ARM A, M series or ARC processor emulator experience.- Knowledge of networking protocols and applications, including TCP/IP. should include L1-L2.- embedded software testing tool development- have worked on FreeRTOS or any real time operation system before.- Have expertise with Linux and RTOS- Invent new tools that enable more frequent and reliable software deployment, test execution, and data analysis as part of a continuous integration and release system.- Develop tools that allow for test execution across multiple environments: virtualized hardware, real hardware-in-the-loop simulations, and on-orbit testing.- Design and Implement Distributed Cloud-based Services and APIs- Partner with device software, frontend, networking, and security engineering teams- Evangelize engineering excellence best practices and mentor junior engineers.- Design and Implement embedded modeling and simulation for broadband access technologies: LTE, WiMax, WiFi or similar- Solid aptitude in protocol standards such as IPv4, IPv6, Mobile IP, LTE, 802.16e, 802.11b/g/n/ac.- Knowledge of object-oriented programming concepts.- Strong theoretical background in Wireless Networks.- Experience with systems integration and testing methodologies.- Knowledge in several of the following: network protocols and applications including TCP/IP, QoS algorithms, cellular/satellite network protocols, software defined networks, network security.- Write high-quality Linux based software for common processors and microcontrollers (e.g. ARM, PowerPC, x86, etc.)- Deep understanding of testing, continuous integration, build, deployment & continuous monitoring.Export Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis role is for a Software Development Engineer who will build new cloud services and APIs that facilitates and orchestrates simulation of software on Kuiper devices such as satellites, ground gateways, and customer terminals. You will be building low-latency, highly scalable architecture that are critical to getting high quality internet service to customers.About the teamWe build the cloud systems and APIs for software running on Kuiper devices to run simulation to achieve high quality software ultimately deployed onto hardware. BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Bachelor's degree in computer science or equivalentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.