Amazon is searching for an innovative and solutions-oriented engineering leader to lead global initiatives of developing and delivering next generation, world-class fulfillment and transportation systems. If the notion of mentoring the world’s brightest talent to their full potential excites you; if the idea of using breakthrough technologies to develop fulfillment and logistics systems in the multi-national juggernaut that is Amazon has your attention, then keep reading.As the Sr. Manager, Design Engineering, you will lead some of the most talented engineers in the design and development of physical fulfillment systems around the globe. A successful candidate will have an established background in developing teams that are capable of creating high-performance physical systems, a strong technical problem-solving ability, excellent project management skills, and an internal motivation to achieve results in a fast-paced, and often ambiguous environment. Leaders at AMZL are tasked with developing and mentoring the next generation of leadership in our company. Your management abilities will be put to the test in our environment. Amazon’s culture encourages innovation and expects engineers and managers alike to take a high level of ownership of the solutions to complex problems.Key job responsibilitiesKey job responsibilities • Invent, design, and implement engineering solutions to complex material flow/transformation and human/machine efficiency problems throughout the global Amazon supply chain. • Lead and coordinate design and innovation efforts to develop optimal solutions for the fulfillment and transportation network through equipment specification, material flow, process design, site layout, and intellectual property considerations. • Collaboration with internal teams and external vendors to generate high-quality, cost-effective solutions in very short periods of time. • Simultaneously manage multiple projects and tasks while effectively influencing, negotiating, and communicating with internal and external business partners, contractors and vendors. • Provide technical leadership for large-scale engineering projects • Effectively communicate the vision, detailed roadmap, and specific technical solutions to make a compelling business case with senior executives.BASIC QUALIFICATIONS• Bachelor’s degree in Engineering (any discipline) or foreign equivalent, OR a related field OR 2+ years Amazon experience• 10+ years experience in the job offered or related occupation of Industrial Engineer, Process Engineer, Manufacturing Engineer, or relate• 5+ years experience managing a successful team of engineers• Experience must involve technical leadership for large-scale engineering project• Experience with MHE and packaging lines or process designPREFERRED QUALIFICATIONS• Master’s degree in Engineering (any discipline), Operations, or a related field and at least 5 years of progressively responsible experience in the specialty.• Experience with complex automated material handling equipment, packaging technologies, and systems including robotics and high-speed manufacturing.• Experience with process design based on Lean Principles.• Capital project management skills.• Design-in-Safety experience• Proficiency with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making.• Ability to travel up to 50% of time throughout the United StatesAmazon 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 $155,700/year in our lowest geographic market up to $269,100/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.

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 : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.Kuiper IT & Digital Operation team is looking to hire a Software Development engineer. This is a fast-paced, intellectually challenging position, and will work with leaders in multiple technology areas. Have relentlessly high standards for yourself and everyone you work with, and be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today.Key job responsibilitiesWork with Export and Kuiper Security to deliver IAM requirements- Build and deliver user, device, and service Identities for Kuiper's business operations- Build RBAC and ABAC services- Develop secure services utilizing x509 Certificates for Digital Signatures and Encryption- Develop cloud native software systems in Go- Utilize AWS and other Amazon technologies to build highly-available software services.- Design and develop performant systems that meet the mission criteria and requirements.- Help on-board and mentor new team members.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- 3+ years of non-internship professional software development experience- 3+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operationsPREFERRED 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.

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 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.The Senior Electrical Engineer will be a member of the Kuiper Inter-Satellite Link Avionics team, focusing on the design of the various electrical functions including analog sensor signal conditioning and processing, analog actuator control, and overall monitoring and control across spacecraft interfaces.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 responsibilitiesIn this role, you will be expected to lead a variety of tasks, from board design and component selection, to layout review, board bring-up, system test and root cause analysis at the subsystem as well as system level. You will be responsible for ensuring high quality and innovative designs, while also supporting other Project Kuiper colleagues with reviewing and improving board and other electrical designs.We are looking for an engineer who combines superb technical and analytical capabilities with a demonstrated ability to get the right things done quickly and effectively. You will be expected to work with a team of top-notch engineers and collaborate with multiple other spacecraft design and integration teams. You should be comfortable with a high degree of autonomy 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 tens of millions of people.A day in the lifeYou will tackle challenging, novel situations every day and have the opportunity to work with multiple technical teams at Amazon in different locations. As a Senior Electrical Engineer, your tasks would vary between board design, layout reviews, test plan development and qualification. This is a cross-functional role requiring constant interaction with multiple HW/SW design teams and end-users.BASIC QUALIFICATIONS- B.S. in Electrical/Computer Engineering or related field, or equivalent experience- 7+ years of experience in hardware development across the full product life cycle (concept to production at scale) in Consumer Electronics, Power Electronics, Robotics, Aerospace, Automotive, and/or Communications fields or combination thereof.- Experience with PCB design and debugging, including microprocessors, FPGAs, power supplies, ADCs and sensors- Experience with complex board designs, including high-speed interconnects, high-reliability designs, and/or motor & actuator control electronics.- Experience with schematic and layout ECAD toolsPREFERRED QUALIFICATIONS- M.S. or PhD in Electrical/Computer Engineering or related field- Experience in development and test of satellite bus systems- Experience with integration of systems into aerospace/avionics enclosures- Electronics design/qualification experience with radiation environments or radiation tolerant hardware- Experience developing highly reliable electronics systems for extreme environments- Experience with low-level firmware development and integration- Experience with rapid iteration prototyping and joint hardware/firmware development; partnering with software engineers to bring-up and test new hardware designs- Experience with Mentor Xpedition or other Mentor ECAD tools- Proficiency in at least one modern programming language such as Python or C/C++- Excellent written and verbal communication; ability to explain complex concepts and designs to colleagues across disciplinesAmazon 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.

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.

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.Amazon Web Services (AWS) Hardware Engineering team creates compute and storage server designs for Amazon’s web services. Our engineers work with leading edge technologies, solve challenging problems, influence the industry’s roadmaps, and develop new and unique solutions that are ahead of the pack. We work in an environment that fosters innovation and creativity. We encourage and invest in new directions and new ideas that will serve our customers better. We sometimes fail, but we learn from such failures and we improve. It is because of the team and our constant focus on the customers, that we are able to develop creative and new designs that set the standards on performance, quality, cost, and operational excellence.What you will do: As a member of the Server Hardware Engineering team you will own and lead the design and development of server products utilizing a wide range of design and manufacturing partners. You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale. To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements.This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products' performance, quality, and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.Why you will love it: You will work directly with a talented team of engineers and product owners across the company to create next-generation hardware. You will have a direct impact on your customer's success, drive the development of the Cloud, and have a meaningful impact on Amazon's success. You will be part of a growing, fast paced, and fun team. About the teamAmazon 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.Amazon Web Services (AWS) 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.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. 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.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- Experience in developing functional specifications, design verification plans and functional test procedures- Experience in server technologies such as, thermal, mechanical, power, and signal integrity- Bachelors degree in Electrical/Computer Engineering or equivalent- 5+ years experience with design and manufacturing processes- 5+ years experience leading ODMs and other suppliers in the product development and manufacturing processes- In depth expertise in one or more server technologies such as Thermal / Mechanical design, high speed bus design and signal integrity, failure analysis, server components (e.g. CPU, GPU, SSDs, drives), BIOS, BMC, and networking- Excellent written and oral communication skillsPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience working with interdisciplinary teams to execute product design from concept to production- Master’s degree in Electrical Engineering, Computer Engineering, or related field- 10+ years years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications- Expertise in early product definition and feature tradeoff analysis- Experience with server validation and issue root causing- Experience with deploying and operating hardware and applications across large data centers- Proficient scripting, debug abilities, and Linux operations commands- Experience with leading hardware and software development engineering teamsAmazon 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 $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.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and servers that use them. This role is for a software engineer in the Machine Learning Inference Model Enablement and Generality team for AWS Neuron at Annapurna Labs.This role is responsible for development, enablement and performance tuning of a wide variety of LLM model families, including massive scale large language models like the Llama family, DeepSeek and beyond, as well as stable diffusion, vision transformers and many more.The Inference Model Enablement and Generality team works side by side with compiler engineers and runtime engineers to create, build and tune distributed inference solutions with Trainium and Inferentia. Experience optimizing LLM inference performance for both latency and throughput is highly desired. Experience with distributed inference libraries such as vLLM is a bonus.Key job responsibilitiesThis role will help lead the efforts building distributed inference support for Pytorch in the Neuron SDK. This role will tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and servers. Strong software development using Python and ML knowledge are both critical to this role.A day in the lifeAs you design and code solutions to help our team drive efficiencies in software architecture, you’ll create metrics, implement automation and other improvements, and resolve the root cause of software defects. You’ll also:Build high-impact solutions to deliver to our large customer base.Participate in design discussions, code review, and communicate with internal and external stakeholders.Work cross-functionally to help drive business decisions with your technical input.Work in a startup-like development environment, where you’re always working on the most important stuff.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.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Fundamentals of Machine learning and LLMs, their architecture, training and inference lifecycles along with work experience on some optimizations for improving the model execution.- Experience programming with at least one software programming languagePREFERRED QUALIFICATIONS- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Masters 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Join our Generative AI focus team to innovate 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 building the next generation of development tools uncovering how LLMs can originate new ways of thinking, building, and collaborating. What Makes Us Different* Ground-floor opportunity to shape the future of software development* Direct impact on Amazon's global engineering practices* Working with the latest technologies and large language models* Culture of experimentation and innovative thinking What We’re Looking ForYou’ll lead the research, design, and development of AI technologies that challenge conventional software practices and uncover new ways for engineers to build and collaborate.You’re comfortable working in ambiguous spaces, exploring emergent behaviors, and collaborating with designers, prototypers, and engineers to test hypotheses in live, evolving systems.You explore where LLMs behave in unexpected yet promising ways, especially in tasks like context retention, code reasoning, or agent behavior , and use those moments to uncover new AI-native workflows.We’re looking for applied scientists with experience in areas like:+ Information retrieval+ Context and memory modeling+ Agent behavior and autonomy+ Code understanding and generation+ Human-AI interaction What You'll Do* Prototype new ways of working with LLMs in engineering workflows* Help shape and evaluate scientific approaches behind agentic systems and engineering tools* Move fast with engineers and prototypers to guide design decisions and model choices* Make sense of unexpected model behavior and guide what to try next ImpactYour work will surface where LLMs can meaningfully change how Amazon engineers build.You’ll help the team uncover which surprises are worth pursuing and where to push beyond what’s already known. Always find a way 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 in patents or publications at top-tier peer-reviewed conferences or journals- Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java)- Previous work on agents or LLMsPREFERRED 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 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.

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.

Are you passionate about building BIM solutions for the Architecture, Engineering, Construction (AEC) industry supercharged by the latest Generative AI technology If so, come build with us! The AWS Data Center Design Engineering - BIM Technology team is on a mission to innovate through new Building Information Modeling (BIM) and GenAI services that will enable our team and customers to design, build, and operate our worldwide data centers facilities better and faster. Our initiatives are in a very nascent space, where you will be able to Think Big, prototype, and innovate on behalf of customers in a start-up like environment. Amazon’s data centers are industry-leading examples of innovation in the areas of space utilization, energy efficiency, and cost effectiveness. We are known for our speed to market and reliability. We are part of the global team responsible for the design and operation of critical industry-leading data center facilities. Our team is on the forefront of creating and delivering the most innovative products to our customers; and are known for being a diverse and upbeat team that is changing the face of cloud computing. We continue to grow and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning. Amazon’s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. At Amazon we do highly support continued learning opportunities and focus on continued employee development.Our team owns the implementation, adoption, and maintenance of new disruptive and innovative Building Information Modeling (BIM) and GenAI technologies, both first-party and third-party, that support the design, construction, and operation of Amazon-owned data center facilities globally.We are looking for a talented Senior BIM Solutions Engineer who is passionate about driving innovation in the Architecture, Engineering, Construction (AEC) industry through the power of Building Information Modeling (BIM) and Generative AI technologies. As a senior member of our team, you will be responsible for shaping the long-term technical strategy and architecture for our disruptive BIM and GenAI solutions. You will work closely with business partners to design, implement and launch new BIM-powered products and services that support the design, construction and operation of Amazon's global data center facilities.The ideal candidate will possess deep expertise in developing secure, scalable BIM software solutions, ideally in the context of the AEC industry. You should have a proven track record of leading the architecture, design and implementation of highly available, distributed systems. Strong technical skills are a must, but you'll also need to demonstrate your ability to dive deep, define product strategy, and drive change across medium to large engineering initiatives.This is a unique opportunity to blend your BIM solutions engineering prowess with a customer-obsessed, innovative mindset. You'll navigate ambiguity, champion bold ideas, and deliver impactful solutions that streamline and transform our data center engineering capabilities. If you're driven by a growth mindset, insatiably curious, and passionate about solving complex challenges, we want to hear from you.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 responsibilities- Serve as a technical lead on our most demanding, cross-functional BIM and GenAI projects.- Translate functional requirements into robust, scalable, supportable solutions that work well within the internal landscape of BIM systems.- Architect cloud-native solutions for BIM implementation, focusing on scalability and integration with AWS services.- Lead the digital transformation of BIM workflows through cloud technologies and automation.- Design and implement cloud-based BIM data management and collaboration platforms.- Manage AI/ML initiatives for automated BIM analysis and optimization.- Drive security reviews and compliance for BIM systems in cloud environments.- Develop technical solutions, including infrastructure-as-code, for BIM deployment and management.- Create API integrations between cloud services and BIM platforms.- Participate in the full BIM development cycle, end-to-end, from design, development, implementation, and testing to documentation, delivery, and maintenance of large-scale distributed BIM technology solutions, including software applications, tools, systems, and services, both first-party and third-party.- Be a member of the Amazon-wide Software Development Community, participating in internal and external Meetups, Hackathons and Conferences.- Mentor and guide junior members of the technical team on design, coding, troubleshooting and operational excellence for BIM systems and solutions.BASIC QUALIFICATIONS- 7+ years experience with BIM technologies (Autodesk Platform Services, Revit, BIM360/ACC, or similar).- 7+ years experience architecting cloud infrastructure solutions.- 7+ years experience with BIM APIs and SDKs, developing custom BIM integrations with third-party APIs like Autodesk Platform Services, and with BIM software development with at least one programming language. Experience as a mentor, tech lead or leading an engineering team.PREFERRED QUALIFICATIONS- 7+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.- Experience building software on AWS.- Experience implementing Artificial Intelligence solutions, with focus on Deep Learning and Generative AI.- Bachelor's degree in STEM (science, technology, engineering and mathematics).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 $128,600/year in our lowest geographic market up to $212,800/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.

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.

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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Are you excited to help customers discover the hottest and best reviewed products The Discovery Tech organization helps customers discover and engage with new, popular and relevant products across Amazon worldwide. We do this by combining technology, science, and innovation to build new customer-facing features and experiences. You will join the Recommendations team, and will be responsible for creating and building critical services that automatically generate, in real time, personalized product recommendations presented to Amazon customers worldwide. You will leverage machine-learning and statistical models to deliver the best possible shopping experience. We are looking for analytical problem solvers who enjoy diving into data, excited about data science and statistics, can multi-task, and can credibly interface between engineering teams and business stakeholders. Your analytical abilities, business understanding, and technical savvy will be used to identify specific and actionable opportunities to solve existing business problems and look around corners for future opportunities. Your domain spans the design, development, testing, and deployment of data-driven and highly scalable machine learning solutions in product recommendation. As an Applied Scientist, you bring business and industry context to science and technology decisions. You set the standard for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You tackle intrinsically hard problems, acquiring expertise as needed. You decompose complex problems into straightforward solutions.To know more about Amazon science, please visit https://www.amazon.scienceBASIC QUALIFICATIONS- PhD in math/statistics/engineering or other equivalent quantitative discipline- Experience programming or scripting language like Python, Java, C or C++- Experience with popular deep learning frameworks such as MxNet and Tensor FlowPREFERRED QUALIFICATIONS- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruningAmazon 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 Systems Engineer, you will be responsible for key aspects of phased array antenna system design, simulation, measurement, calibration and optimization. You will be working in a collaborative environment with a multi-disciplinary team to deliver advanced high-performance phased array antenna systems. In this role, your responsibilities will include:· Designing and implementing phased array calibration systems, signals, processing and algorithms· Performance analysis and design trade-off studies of phased arrays· End-to-end modeling, simulation and analysis of baseband/RF/antenna systems· Lab measurement and validation of performance of antennas, and phased array systems and subsystems· Working with antenna, modem, RF and Digital teams to simulate, measure and fine-tune radio designsExport Control Requirement:Due to applicable export control laws and regulations, candidates must be U.S. citizens, U.S. permanent residents (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.BASIC QUALIFICATIONS- BS in Electrical Engineering with relevant coursework in digital communication theory, digital signal processing, RF/Microwave Engineering, Antennas and Electromagnetic theory- 3+ years of work experience in Aerospace/Semiconductor/Consumer Electronics industry- Experience in DSP techniques, digital modulation, radio architecture, line-up analysis, RF system design- Experience with lab test equipment like VSAs, VSGs, VNAs and Oscilloscopes- Coding and scripting skills with demonstrated experience in Matlab/Python/C++- Experience with simulation tools such as SystemVue, ADS or LabViewPREFERRED QUALIFICATIONS- MS in Electrical Engineering with 6+ years of work experience or PhD with 4+ years of experience- Experience working with phased arrays, calibration and antenna measurement- Experience with one of the mainstream antenna simulation tools (CST/HFSS)- Good understanding of modern wireless technologies (OFDM/MIMO) and medium access procedures- Familiarity with basics of probability and estimation theoryAmazon 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 $201,200/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.

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.

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.AWS EC2 owns the design, planning, delivery, and operation of all AWS server instances. In other words, we’re the people who keep the cloud running. We support all AWS compute, storage, accelerator servers and 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 hardware engineers, software engineers, system engineers, technical program 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 responsibilitiesAWS hardware Engineering is looking for a customer-obsessed, team-driven technology leader to take our engineering of server hardware and software to the next level. As a server memory leader, you’ll work on Amazon’s hardest problems, building high quality, architecturally sound systems that are aligned with AWS business needs. You will interact with internal and external interdisciplinary teams of engineers to design, develop, validate, launch, monitor and troubleshoot at large scale. This is a fast-paced, intellectually challenging position. At AWS we are changing the industry and want individuals who are ready for a challenge to reach beyond what is possible today.About the team"*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.*Diverse Experiences*Amazon 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 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- Experience in developing functional specifications, design verification plans and functional test procedures- Bachelor’s degree in Computer Engineering, Electrical Engineering, Electronics Engineering or related discipline- 5+ years of experience identifying & root-causing HW/SW issues in large scale systems- 5+ year of experience with customer support for successive debugging/root-causing memory failure- 5+ years of experience in memory/memory subsystem designPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- 5+ year of experience with new memory technology bring up- 5+ years experience with statistical analysis using large scale data- 5+ years of experience with with leading memory standardization through JEDEC, CPU architecture, RAS, DDR Memory technology, system performance, security and troubleshooting- Repeated success leading architecturally significant projects from inception through launch, including communicating with users, other technical teams, and management to collect requirements, describe product features, and produce technical designs- Excellent communication skills, both written and verbalAmazon 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 $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.

Want to help make the next generation of Machine Learning in the cloud possible Do you have a laser focus on performance in your team's code We want to talk to you! We own the user-space software that makes the Elastic Fabric Adapter (EFA) network card work for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. Across multiple projects written in C, our team enables customers to network thousands of GPU and CPU instance types to handle the toughest clustered workloads. Lead a dynamic, fast-paced group that has a big impact every day on the hottest companies doing AI and HPC today. Key job responsibilitiesYou will help lead a team of obsessed networking developers operating at the highest levels in networking. You will write the highest-performing code in C for multiple open source projects supporting EFA, such as Libfabric and Open MPI. You will work with multiple teams in the stack to invent new APIs for the latest concepts in networking in the cloud. Dive deep into how your customers are doing collectives and messaging at high bandwidth and low latency. Provide expert-level support to some of the biggest names in AI in the world. A day in the lifeStart from the needs of your customer and invent new ways of cutting the occupancy of the software stack for EFA. Drive your peers and leadership to accept your excellent written designs. Work with our ML Infrastructure team to see your products perform on 100s and 1000s of top-end machine clusters. About the teamWe are a fast-paced team that owns the user-space software stack for EFA. As part of Annapurna Labs in AWS we are very nimble, paying careful attention to what the AI industry is going to try next, and having our products ready. We focus heavily on automation, confining operations to the most interesting problems as customers continuously experiment with what our network can do. Our team is a place of growth, concentrating on your career and goals and motivating you to achieve your highest potential. BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- Experience as a mentor, tech lead or leading an engineering teamPREFERRED 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 $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.

AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn1 and Inf1 servers that use them. This role is for a 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 massive scale large language models like LLama3, Mixtral, DBRX and beyond, as well as stable diffusion, Vision Transformers and many more. The Distributed CoreTech training team works side by side with chip architects, compiler engineers and runtime engineers to create , build and tune distributed training solutions with Trn1. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.Key job responsibilitiesThis role will help lead the efforts building distributed training support into Pytorch and Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development and ML knowledge are both critical to this role.About the teamAbout UsInclusive 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 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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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.

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.We're looking for a Sr Opto Mechanical Engineer to lead manufacturing and test development.As the Sr Opto Mechanical Engineer for a Line Replaceable Unit at Project Kuiper, you will be directly responsible for the production test development, introduction, improvement, & maintenance of a key module on our next generation spacecraft. You’ll be the leading technical voice for a team of manufacturing engineers working on the product, solving challenging technical problems associated with delivering an ultra-high-performing optical, electrical, and mechatronic module to space. You will serve as a key lynchpin connection design/development, factory operations, quality engineering, program management, and more as you drive the manufacturing processes, we use from initial production introduction to full rate production. You will leverage your expertise in optical test design to partner with development on the design and test of future iterations of the system and sub-assembly and our associated production test systems & tooling. You’ll solve complex industrial challenges associated with balancing production velocity, exceptional quality, and cost competitive production concepts while ensuring smooth technical execution of current production operations. You’ll be a key animating force in the increase in production capacity through vision & execution of capital investment for production scaling & automation.Key job responsibilities- Serve as primary technical interface to development team, participating as the lead technical voice from the factory in Design Reviews, key technical escalations, and new product development activities. - Design and analyze of optical systems, including opto-mechanical mounting. Review designs from design engineer for performance, DFM, FMEA, etc.- Align laser and/or optical systems. Measure laser properties and optical performance to ensure product specifications are met.- Collaborate with the optical engineering and system engineering leads with the opto-mechanical system design.- Drive full documentation of mechanical design including BOM, drawings and procedures.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 life- 25% - On the shop floor, working with production teams to implement new processes, review & solve key technical blockers in production, performing production development testing, etc.- 25% - Independent development work such as deep diving on available data sets to identify and implement key production improvement actions, acting on quality escapes by developing and implementing new quality control measures, developing & executing to existing roadmaps for capacity increase, process simplification, etc.- 40% - Meeting settings, collaborating with others on topics such as new design introductions, production process change management, production solution finding reviews, etc.- 10% - Mentorship settings with other engineers on the team, performing collaborative work & coaching to develop the team members skillsets, while ensuring common team execution to your technical visionAbout the teamThe Optical Inter-Satellite Link Production team is a multi-disciplinary organization responsible for all aspects of production of the key modules enabling satellite-to-satellite communication. The Manufacturing Engineering Team is the technical arm of this organization, with 20+ engineers from all disciplines collaborating on all aspects of technical development & execution in production. As a Lead Manufacturing Engineer, you will be the technical leader of a team of 4-6 manufacturing engineers.BASIC QUALIFICATIONS- Degree in one of the following areas OR related field OR equivalent work experience:- - Mechanical Engineering- - Optical Engineering- - Physics- - Optics/Optical Sciences- Experience in design of opto-mechanical systems, familiar with optics mounting and optical alignment- Experience in developing functional specifications, design verification plans and functional test procedures- Familiarity New Product Introduction- 5+ years of experience in mechanical systems design and development using at least one standard commercial CAD software package (Solidworks, Creo, etc) including experience with GD&T, FEA and quality detail drawing documentation- Proficient with optical design principles and ray tracingPREFERRED QUALIFICATIONS- Experience working with interdisciplinary teams to execute product design from concept to production- Understanding of optical alignment techniques and experience with design of laser systems and alignment procedures- Experience with design tools and fixtures to aid in alignment, fabrication, gluing, and assembly of lasers, interferometers, and optical componentsAmazon 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.

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.

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 cutting-edge cloud computing offerings across the AWS portfolio.Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time agoeven yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world.AWS Neuron is the complete software stack for the AWS Inferentia and Trainium cloud-scale machinelearning accelerators and the Trn1 and Inf1 servers that use them. 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 massive scale large language models like GPT2, GPT3 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 tune distributed training solutions with Trn1. Experience training these large models using Python is a must. FSDP, Deepspeed and other distributed training libraries are central to this and extending all of this for the Neuron based system is key.Key job responsibilitiesThis role will help lead the efforts building distributed training and inference support into Pytorch, Tensorflow, Jax using XLA and the Neuron compiler and runtime stacks. This role will help tune these models to ensure highest performance and maximize the efficiency of them running on the customer AWS Trainium and Inferentia silicon and the TRn1 , Inf1 servers. Strong software development and ML knowledge are both critical to this role.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.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.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.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.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.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- - 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience- - Experience as a mentor, tech lead or leading an engineering teamPREFERRED QUALIFICATIONS- - Bachelor's degree in computer science or equivalent- - Machine Learning knowledge in frameworks and end to end model training.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 $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.

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. 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.Server Hardware Engineer (aka Lead Engineer (LE)). Amazon Web Services (AWS) Hardware Engineering team creates compute, storage, accelerator, and enterprise servers for Amazon’s innovative web services. We are seeking experienced hardware design engineers to design and build next-generation servers and AWS specific hardware components. Our designs are industry-leading in performance, frugality and operational excellence, and are critical to the success of the AWS business and the more than one million customers who use AWS today. Our Hardware Engineers solve challenging technology problems, and build architecturally sound, high-quality servers and components to enable AWS to realize critical business strategies. Our success depends on our highly respected server infrastructure; we’re handling massive scale and rapid integration of emergent technologies.What you will do: As a member of the Edge team, you’ll be responsible for integration of hardware/software components to build our servers, working with service teams to define products, and supporting operations in all the locations we have servers. You will interact with engineers across the company and work with an interdisciplinary team to execute product designs from concept to production including design, development, validation, and the deployment of servers at scale.You will solve design challenges across many disciplines including server/board design, thermal-mechanical design, server firmware/software, integration into our software service control plane, manufacturing, and operations. You will deliver functional block diagram, schematics, specifications, analysis, test plans, and monitoring plans used to build our servers and components. You will work closely with internal teams, suppliers, and external partners to ensure our designs are of the highest quality. You will lead cross-organizational teams to improve key factors such as total cost of ownership, quality, reliability, performance, and serviceability. You will be an end-to-end owner from concept, design, launch, and operation in our fleet. You will be hands on and comfortable with the entire technology stack from the service software all the way down to the silicon. You will use high judgement to solve problems individually or guide others when help is needed.This is a fast-paced, challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want team members who are ready for this challenge and want to reach beyond what is possible today.Why it matters: Public cloud IT services represent the majority of growth in the overall IT services market and will continue to do so for several years to come. The scale of AWS, combined with an understanding of how our hardware is used, creates a unique opportunity for hardware customizations that will directly benefit AWS customers.Why you will love it: You will work directly with engineers across the company to build next-generation hardware. You will have a direct impact on our bottom line and the ability to deliver improvements for our customers. You will be part of a growing, fast paced, and fun team. You will have ownership for the implementation of your work.Key job responsibilitiesAs Server Hardware Engineer you will be responsible for bringing new technology to our server & products as well as scaling how we operate our massive existing & rapidly growing fleet.You will collaborate with internal development teams and external suppliers to deliver new servers with industry leading performance and qualityYou will establish strategic vision and drive execution in defining and delivering new products and servicesYou will lead the integration and delivery of servers, support the development of automated monitoring, and failure analysis services to operate, debug, and scale our serversYou will work closely with other AWS software teams to tailor and operate servers solutions for the AWS environmentYou will support launching our servers into production and operating our fleet of serversA day in the lifeYour day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development on top of your server design. You will be responsible for solving operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale.About the teamThe team is comprised of both Hardware Design Engineers, System Design Engineers, Software Development Engineers and Technical Program Managers, all with the common goal of delivering the best specialized server fleet possible to our customers.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.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.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 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.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.BASIC QUALIFICATIONS- BS Electrical/Computer Engineering (or equivalent experience)- 7+ years of experience in hardware system, board, and component design.- 7+ years of experience with high speed interface protocols such as DDR, PCIe, and ethernet- 7+ years of experience in collaborating with the ECAD/physical board designer and able to review PCB designs with Allegro, CAM350, or equivalent.- 7+ years of experience in developing functional specifications, design verification plans and functional test procedures- 7+ years of experience in board and server root cause analysis and resolutionPREFERRED QUALIFICATIONS- Master’s degree in Electrical Engineering, Computer Engineering, or related field- 15+ years of experience in server design for cloud or enterprise applications- Strong expertise motherboard and peripheral component design, PCB design, schematic capture, stackup, and circuit board layout.- Experience in designing for reuse across multiple products- Experience with server technologies such as: power optimization, thermal, mechanical, BIOS, BMC, signal integrity, networking.- Commitment to rigorous testing practices and design process flows- Strong organizational and planning skill- Desire to work in a fast-paced environment- Ability to resolve complex issues in creative ways- Excellent written (white papers) and oral communication skills- Experience in component selection and understanding of component reliability.- Experience in design for large scale applications.- Experience working with interdisciplinary teams to execute product design from concept to production.- Experience with the management of technical programs a plus.- Meets/exceeds Amazon’s leadership principles requirements for this role.- Meets/exceeds Amazon’s functional/technical depth and complexity for this role.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 $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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

Amazon Web Services (AWS) is transforming the landscape of distributed systems with our Serverless technologies, including Containers (EKS, ECS, ECR), Lambda, EventBridge, API Gateway, and PrivateLink. These services are vital for our Amazon Dedicated Cloud (ADC) customers, providing them with secure and robust cloud solutions.We are looking for a skilled Systems Development Engineer to join our team in Seattle, WA or Denver, CO. In this role, you will design, implement, and manage scalable cloud solutions for ADC customers, collaborate with cross-functional teams, and contribute to the next generation of cloud technologies.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThe ideal candidate will have extensive experience with Linux, especially in large-scale, distributed environments, and a strong understanding of networking technology and server inter-relationships. They will excel in deep-dive troubleshooting and conduct technical post-mortems to identify the root causes of complex issues.Passionate about coding, the candidate will be adept at building tools in Java and solving system problems in Python, with a solid grasp of software development methodologies. They will be responsible for creating and deploying scalable solutions across thousands of devices, continuously improving processes to handle massive-scale operations.The candidate will proactively address system variances affecting major services worldwide, investigating service inter-dependencies and region-specific configurations. They will collaborate with cross-functional teams to optimize cloud infrastructure maintenance and engage in continuous learning from Amazon's distinguished engineers to stay updated on industry best practices.A day in the lifeOn a typical day as a Senior System Development Engineer (SysDev), you will collaborate with internal service teams to enhance system health, maintainability, and operational efficiency. Your work will involve improving tooling and product builds, ensuring that our systems run smoothly and effectively. Additionally, you will tackle complex technical challenges faced by our customers, providing global solutions to these advanced problems. As part of the Amazon Dedicated Cloud community, you may also be required to offer on-call support across various Serverless technology stacks, ensuring that our services remain reliable and robust.The primary focus of the team is on the growth and delivery of the Lambda, API Gateway and PrivateLink services. Working in a high-trust environment, you will partner closely with internal service teams to quickly resolve issues through code, driving positive customer experiences. The team was formed in response to the significant growth of related services in recent years, highlighting the need for agility and a proactive approach to solving emergent challenges.In this role, you will be solving problems that directly impact the performance and reliability of our cloud services. You will work with a variety of internal stakeholders, including other engineers, product managers, and support teams, to ensure that our solutions meet the needs of our customers. The end goal is to maintain the high standards of service that AWS is known for, while continuously improving and innovating to stay ahead of industry demands.About the teamThe US Serverless ADC team is a dynamic group of customer-obsessed Systems Engineers and System Development Engineers. With extensive production experience, we are uniquely equipped to create automation tools and software solutions that enhance system reliability and efficiency. Our mission is to minimize operational burden by developing scalable infrastructure elements that grow with our services, ensuring we consistently deliver an exceptional and world-class experience for our customers.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.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.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 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.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.BASIC QUALIFICATIONS- 2+ years of non-internship professional software development experience- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- Bachelor's degree, or CSSLP (Certified Secure Software Lifecycle Professional)- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby- Current, active US Government Security Clearance of Top Secret with SCI eligibility or abovePREFERRED QUALIFICATIONS- Experience with distributed systems at scale- Experience building services using AWS products- Experience working in an Agile environment using the Scrum methodology- Experience working with Kubernetes or other container orchestration technologyAmazon 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 $201,200/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 individualhouseholds to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.As the Manufacturing Test Engineer at Project Kuiper, you will serve as primary owner for environmental test equipment (Thermal, TVAC, Vibe, Shock, or HASS), managing configurations, maintenance, and improvement projects. Additionally, you will work on rate enablement initiatives, continuous improvement activities as well as direct floor support to ensure production is operating smoothly.You’ll be the technical voice for a team of lab engineers, test technicians working on the product, solving challenging technical problems associated with environmental test and test equipment.You’ll solve complex industrial challenges associated with balancing production velocity, exceptional quality, and cost competitive production concepts while ensuring smooth technical execution of current production operations. You’ll be a key animating force in the increase in production capacity through vision & execution of capital investment for production scaling & automation.Key job responsibilities- Equipment Ownership: Serve as primary owner for environmental test equipment (Thermal, TVAC, Vibe, Shock, or HASS), managing configurations, maintenance, and improvement projects. Provide technical leadership during troubleshooting events. Manage relationships with 3rd party equipment vendors- Process Development: Establish standardized test processes and work instructions that enable technicians to operate with minimal engineer supervision. - Floor Support: Provide direct technical support to technicians during test execution, helping resolve issues in real-time. (non-conformances, troubleshooting, process improvement activities, and training)- Rate Improvement: Analyze data to validate the ability of test procedures to meet requirements. Identify and lead projects that increase throughput, reduce cycle time, and improve first-pass yield- Automation Troubleshooting: Ability to read and triage simple errors in LabView and Python code execution, understanding of control loops used in environmental test, and an ability to articulate failures to support teams for more complex issues- Manufacturing Execution System Management: Define data artifacts in MES/ERP systems. Develop and manage system standards for handling test execution and non-conformances.- Training: Develop and deliver training for technicians on equipment operation and test proceduresExport 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 life- 50% - On the shop floor, working with production teams to implement new processes, review & solve key technical blockers in production, performing production development testing, etc.- 40% - Independent development work such as identifying and implementing key production improvement actions, acting on quality escapes by developing and implementing new quality control measures, developing & executing to existing roadmaps for capacity increase, process simplification, etc.- 10% - Meeting settings, collaborating with others on topics such as new design introductions, production process change management, production solution finding reviews, etc.BASIC QUALIFICATIONS- Bachelor's Degree in Engineering (Manufacturing/Mechanical/Aerospace/Industrial/Electrical) or related discipline, or equivalent experience- Experience with environmental testing equipment (vibration, thermal, vacuum)- 3+ year experience with integrating, testing and troubleshooting mechanical and electronic systems- 3+ year experience with Computer Aided Design tools such as Solidworks or NX/Unigraphics- Familiarity with Low-Rate Manufacturing Environments & New Product Introduction- Knowledge of Lean manufacturing practices & principles- Experience with Root Cause Analysis Techniques such as Fishbone, Fault Tree, DMAIC, or related technologies/processes- Technical writing experience, including work instructions, standard operating procedures and/or test plans- Experience working with interdisciplinary teams to execute product design from concept to production- Experience with the project management of technical projectsPREFERRED QUALIFICATIONS- Proficiency in test automation tools (LabView, Python)- Technical writing experience, including work instructions, standard operating procedures and/or test plans.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 $105,600/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're advancing the frontier of visual reasoning and agentic AI technologies. 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.Key job responsibilities* Develop a novel agentic AI framework to solve diverse visual AI challenges in the physical world* Advance the theory and practice of multi-modal foundation models for visual understanding* Design new approaches to memory and attention mechanisms for processing continuous visual streams* Create innovative techniques for efficient visual processing that can scale to real-world applications* Research new methods for autonomous decision-making based on visual inputs* Investigate approaches to reduce the computational and data requirements of visual reasoning 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.Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems About the teamOur research team is tackling fundamental challenges in visual reasoning that combine generative AI and agentic frameworks. We're investigating novel approaches to how AI systems understand spatial relationships, reason about object interactions, and maintain contextual awareness across time. Working at the intersection of computer vision and large language models, we're developing theoretical frameworks and practical techniques that advance the state-of-the-art in visual AI.Diverse Experiences AWS 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 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.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, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related languagePREFERRED 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.

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 at Amazon work to design resilient, cost effective mechanical distribution systems. As engineers at Amazon we are responsible for achieving a world class uptime for our customers. We justify and communicate the technical decisions we make to Sr. Management and work hard to drive continuous advancements and improvements with our designs. As an engineer at Amazon you have the ability to drive change and define/design the systems our customers rely on. Amazon offers a fast paced, fun, and exciting work environment. We continue to grow at exponential rates and are looking for individuals that can support our speed to market, enjoy a challenge, and have a desire for professional growth and continuous learning experiences. Amazon’s work environment is unique in every aspect and offers an exceptional opportunity for the right candidate. We are looking for engineers with hands on mechanical design experience. If you can design a mechanical system, have an understanding of the critical equipment needs for a data center, and understand the constructability of varying designs you may be a good fit. As we grow we are structuring our team to own more of our engineering in house. Engineers will be responsible for taking designs from concept to the permit and construction document set. You must be capable of defining critical equipment specifications and approving equipment submittals. Engineers will directly support construction and be a part of the process from site selection review through commissioning and ultimately turnover. You will be relied on as a subject matter expert in the mechanical engineering field. At Amazon we do highly support continued learning opportunities and focus on continued employee development. At Amazon team work is absolutely necessary for us to accomplish our goals. You must be able to work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including utilities, manufacturers, vendors, and contractors. Amazon has a global presence. Travel will occasionally be necessary but shouldn’t be more than 20%. International support will be part of the job, some international travel may be necessary. Support could consist of working on international teams and could require developing detailed schematic design packages. An understanding of international mechanical design requirements is helpful but not necessary. Key job responsibilities - Work with internal teams to understand user requirements. - Data center mechanical designs and collaboration with other disciplines to create a construction document set. - Creation of designs which meet or exceed our quality requirements and fall within our budgetary requirements. - Work with regional vendors and manufactures to specify the appropriate mechanical equipment. - Work with local utilities to understand and define site utility requirements. - Work with local agencies having jurisdiction to ensure compliance with city/county requirements and building codes. - Review and approval of equipment submittals. - Define project scopes and provide technical support for information requests during construction phases. - Work with commissioning teams to properly validate installation, operation, and performance of mechanical systems. - Ability to work on concurrent projects in multiple geographical regions. - Travel to sites for site review and work with onsite field engineers, engineering evaluations, mechanical systems audits, and startup as needed. - Having fun and offering creative, out of the box solutions. About the teamAbout Team: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 (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- Bachelor’s degree in Mechanical Engineering or an equivalent engineering degree in a related field with at least 4 years of additional qualifying experience.- 6+ year of experience in design engineering or the construction industry, related to all aspects of Mechanical, including hydronics, air side duct design, and plumbing design. 4+ years’ experience using Revit for producing Mechanical & Plumbing engineering BIM models and construction drawings.- Experience applying local codes, International Code Council (ICC) requirements, and other Mechanical industry standards, procedures, and methodologies. PREFERRED QUALIFICATIONS• Experience directly related to construction of data centers, critical medical, industrial, construction, oil and gas, or large-scale mechanical and power systems.• Experience with processes of design review, specification, development of design standards, and submittal review. Ability to read and understand construction documents for all trades (design drawings, control diagrams, specifications, etc.).• Experience with performance-based alternatives to prescriptive Mechanical design. Advance knowledge of mechanical engineering systems• Experience designing of high volume air handling systems and controls, chilled water systems and controls, economization solutions and direct/indirect evaporative cooling systems.• Professional Engineering license, NCEES RecordAmazon 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 $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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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 to improve the productivity and efficiency of AEs. You'll be part of expanding 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.- Experience building applications leveraging GenAIAmazon 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 individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.As a Network Development Engineer (NDE), you will play a pivotal role in designing innovative network automation services. These services will be instrumental in monitoring, troubleshooting, and debugging the Kuiper Satellite Network. In this capacity, you will not only develop novel automation solutions but also actively participate in the on-call rotation, ensuring prompt and effective resolution of network issues. Additionally, you will be responsible for conducting extensive lab testing of both hardware and software components, as well as engaging in research and design activities to optimize the satellite network and ensure it meets the evolving needs of our customers.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 responsibilitiesNetwork Development Engineers perform high quality network and/or systems operations, deployments, scaling, technology refresh, sustaining engineering, best practices application, optimization, internal/external customer interactions, and produce appropriate technical documentation.- Continuously strive for operational excellence by seeking to automate away manual processes- Design robust, scalable, maintainable, and adaptable networks based on customer needs and business requirements- Select and test network equipment for new initiatives and lifecycle replacement- Deep dive at hardware, software and protocol level to root cause faults and identify areas of improvement.- Integrate solutions into existing highly available physical and cloud networks- Develop and document standards for network monitoring metrics, trouble ticket handling, performance dashboards, and incident response- Mentor engineers and collaborate with other networking, systems development, and software teams- Provide support and incident response as part of an on-call rotationA day in the lifeAn NDE in Kuiper Optical Network Operations is responsible for designing, developing, testing, deploying, and operating network tools and equipment that enables broadband network systems worldwide. We define standards, select and test platforms, and design for resiliency and scalability. We work with other teams for designing and delivering scalable, flexible, low latency, and high throughput network functions.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. The role might need occasional business travel. BASIC QUALIFICATIONS- 3+ years of major internet routing protocols experience in a large-scale environment.- 3+ years of working in a Linux/Unix environment experience- 3+ years of automation scripting using Python, Bash, Shell and/or Perl experience- Experience with TCP/IP networking, IP routing, and Network Security architecture and core technologies such as IP, TCP, OSPF/IS-IS, BGP, MPLS, Firewalls, ACLs, DNS, DHCP, IPAM, etc.PREFERRED QUALIFICATIONS- Experience building, integrating, and maintaining systems for managing and monitoring both physical and cloud-based routers and switches.- Experience in developing alarming systems, alarming correlation, tools to identify faults in layer-2 and layer-3 networks such as identifying packet drops.- Experience in developing runbooks and workflows required to mitigate network impacts.- Experience in developing complex network dashboard based on multi-metrics showing network health and faults.- 4+ years of layer-2 and layer-3 network design, troubleshooting, operation experience in large scale network in a complex, ambiguous and fast paced environment.- Meets/exceeds Amazon’s leadership principles requirements for this role ·- Meets/exceeds Amazon’s functional/technical depth and complexity for this roleAmazon 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 $127,400/year in our lowest geographic market up to $212,800/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.

The AWS Rack Power team is driving rapid innovation in the power systems used by Amazon Web Services. Our designs are fundamentally changing the data center, providing operational and financial benefits that are critical to the success of the AWS business and its millions of customers. We design and build power equipment used by Amazon.com and AWS services such as EC2, EBS, S3, Glacier, and Outpost. Our engineers solve challenging technology problems, and take big bets on new concepts, enabling AWS services to continue to revolutionize the industry. What you will do: As a member of the Rack Power Engineering team you will develop and test power solutions for our next generation datacenter hardware. You’ll provide leadership in the application of new technologies to enable large scale server deployments in a continuous effort to deliver a world-class customer experience. You will be a power electronics subject matter expert in an engineering team responsible for both new product development as well as product sustaining and support. You will help grow the capabilities in our power test lab by creating/running new tests, innovating new test processes, and automating the execution of these tests. This is a fast-paced, intellectually challenging position, and you’ll work with thought leaders in multiple technology areas. You’ll have high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your products performance, quality and cost. We’re changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.Why it matters: Amazon has thousands of unique services, both big and small that power the Retail website (Amazon.com), Amazon Web Services, Echo, Kindle, Amazon Instant Video and more. These services run on hardware around the world. We continually need to deploy newer, innovative, and more efficient and cost-effective hardware. Your work will drive efficiency, contributing to Amazon's Climate Pledge. Your work will drive significant cost savings while improving the performance and reliability of our websites and services. Your work will touch development teams and customers around the world. Why you will love it: You will have exposure to teams and leaders across the entire company. You will be a part of a leading-edge research and development team. You will be involved with aspects of the Amazon business. You will have a direct impact on our bottom line and the ability to improve things for our developers. You will be part of a growing, fast paced, and fun team. You will have ownership and responsibility for defining, developing and executing processes that deliver both savings and productivity for Amazon.BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test proceduresPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience working with interdisciplinary teams to execute product design from concept to production- Experience with the project management of technical projectsAmazon 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.

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.Our team designs, builds and operates Amazon's fleet of Accelerated Servers using Internal Amazon design silicon or specialized purpose accelerators (EC2.TRN, INF, G, F + more instance types). We solve systemic hardware issues and we build hardware and software systems to detect and mitigate future recurrences so that our our customers can experience the highest quality of service possible!You will be responsible for owning the design and operations of a brand new segment of servers for the AWS fleet. You will be responsible for development of individual boards, managing third party ODM's, integrating components from within and outside of amazon and integrating firmware/software stacks ontop of the hardware to produce high quality designs for our customers.As the end to end owner of a complex server fleet, our team works closely with partners to root cause failures and drive changes back into our current & future designs. Nothing is complete without closed loop corrective actions which drive changes back into our development processes and behavior specifications. As a member of the AWS Hardware Engineering organization, you will apply your technical experience and work with other subject matter experts in core component development, compute server development, networking development, custom hypervisor/virtualization development and other teams. You will be responsible for hardware and systems that improve how we detect, root cause, and remediate issues. You will lead cross functional investigations and define changes needed to deliver results and will have direct exposure to internal and external AWS customers. Ideal candidates will have a background in server development, system design, root cause, scoping complex issues, qualification, problem solving and developing corrective actions.Key job responsibilitiesAs a member of the Accelerated Server Hardware Engineering team you will own and lead the design, development and root cause of a new segment of accelerated servers.You will work closely with our customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect the solutions that we will deploy at scale.To deliver your products you will work with an interdisciplinary team of component, firmware, test, qualification, and integration engineers, and lead our design and manufacturing partners to bring these servers to the data center. After launch you will oversee the fleet of servers you develop, monitoring their quality and how they are meeting the customer requirements.A day in the lifeYour day to day responsibilities will include interfacing with our internal and external customers to understand project requirements and facilitate system development ontop of your server design. You will be responsible for learning operational challenges to our existing fleet with the goal of improving the current customer experience as well as developing improved systems for future designs. You will work directly with vendors and ODM/JDM design teams to develop and manufacture your product at scale. About the team*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.*Diverse Experiences*Amazon 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 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.The Hardware Engineering AI / ML development team is a group of engineers and technical program managers directly responsible for launching hardware in the fleet. Located out of Seattle, Cupertino and Austin we work on programs with global development teams (both internal and external to Amazon). Our servers are located in datacenters globally. The members of our team have a diverse set of technical backgrounds but all share a common trait of Bias for Action and strong Ownership. We enjoy applying a startup model of delivering fully functional solutions for our customers.BASIC QUALIFICATIONS- Experience in developing functional specifications, design verification plans and functional test procedures- Experience working with interdisciplinary teams to execute product design from concept to production- Experience in server technologies such as, thermal, mechanical, power, and signal integrity- Bachelor's Degree in EE or equivalentPREFERRED QUALIFICATIONS- Master's degree in electrical engineering, computer engineering, or equivalent- Experience with the project management of technical projects- Experience in compute and storage server architecture and design for large scale applications- 10 years hardware development with a focus on system / server development in compute and/or storage server architecture and design for large scale applications.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 $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.

Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend. The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Microsoft, Accenture, Salesforce, or Seattle Children's Hospital among other leading organizations in the Seattle/Bellevue Washington area. Are you eligible You can apply to Year Up United if you are: - A high school graduate or GED recipient - Eligible to work in the U. S. - Available Monday-Friday throughout the duration of the program - Highly motivated to learn technical and professional skills - Have not obtained a Bachelor's degree - You may be required to answer additional screening questions when applying What will you gain Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week. In-depth classes include: - Application Development - Banking - Business Operations - IT Support - Project Management - Data Analytics - Network Security & Support Get the skills and opportunity you need to launch your professional career. 75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.

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.