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Full Time
5/8/2025
Seattle, WA 98104
(35.4 miles)
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.We are looking for a Software Development Engineer to join our team and help us build the next generation of the AWS Direct Connect service. This position will be responsible for designing, developing, and supporting features within the AWS Direct Connect service.First, a bit of background:Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and networking services that help organizations move faster, lower IT costs, and scale applications. Our services are trusted by the largest enterprises and the hottest startups to power a wide variety of workloads.The AWS Direct Connect software engineering team invent solutions makes it easy for customers to establish a dedicated network connection from their premises to the AWS cloud. These connections help to reduce network costs, increase bandwidth throughput, and provide a more consistent network experience than Internet-based connections. AWS Direct Connect is currently available in more than 91 locations located in 28 countries.The opportunity:The AWS Direct Connect team is looking for technical experts who can help us build large scale distributed systems to meet our customers' demands. You will be designing, implementing, and operating features to put features into customers’ hands quickly.AWS in general and this business, in particular, operates at very large scale and on critical workloads, so a passion for operational excellence is essential. Candidates must be comfortable working within a fast-moving startup environment and be eager to embrace ownership and accountability.Key job responsibilitiesKey job responsibilities• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and build innovative products and services in a large distributed computing environment• Influence our product direction through significant development contributions and technical leadership• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.• Build distributed systems that are scalable, fault-tolerant, low cost, and easy to manage/use.• Ability to design and code the right solutions starting with broadly defined problems.• Define and achieve performance metrics, and instill the operational practices needed to sustain them• On-call rotation to support the services owned by the Software team• Mentor your teammates, helping them grow and develop their technical/functional skills.A day in the lifeAs a member in the AWS Direct Connect team, you will...Work to identify features and enhancements that will contribute to our long-term vision. Design, build, and maintain our large-scale next generation networks that support critical workloads. Work with engineering teams on data plane and control plane software, network design and implementation. Identify and troubleshoot recurring issues and effectively engage with other engineering teams to ensure resolution. Drive deep dives for large-scale events and deliver high-quality documentation and corrective actions. Mentor your peers to help them embrace ownership, accountability and instill a passion for operational excellence.About the teamDiverse 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.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.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- 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.
Full Time
5/8/2025
Bellevue, WA 98004
(39.5 miles)
Do you want to solve business challenges through innovative technology Do you enjoy working on cutting-edge, scalable services technology in a team environment Do you like working on industry-defining projects that move the needle At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. You will be solving challenging problems and developing scalable, high-performing solutions that require minimal long term sustaining and development support. You will partner with Systems Engineers, Network Engineers and Software Engineers to develop simple and efficient technology that supports our test and development platforms.. We value ingenuity, simplicity, and scalability in our designs. In your day-to-day work you will focus on automation of complex tasks to allow our business to scale with customer demand.BASIC QUALIFICATIONS- 6+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 6+ years of non-internship professional software development experience- 6+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 4+ years of systems development in an IT or data center environment experience- 4+ years of deploying and operating in a Linux/Unix environment experience- 6+ years of systems design, software development, operations, automation, and process improvement experience- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in productionPREFERRED QUALIFICATIONS- 6+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customersAmazon 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.
Full Time
5/8/2025
Seattle, WA 98104
(35.4 miles)
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) is looking for highly technical and critical individual to solve the most challenging problems in our industry. AWS Data Center Planning, Deliver, & Operations is a global team responsible for the design and operation of industry-leading, large-scale, business critical facilities. We are currently seeking highly motivated individuals with demonstrated design and analytical expertise in the execution of real time control on mission-critical facilities. At Amazon we leverage unique opportunities presented to us by bringing automation in house to our datacenters. We are diverse, upbeat, creative, team-oriented engineers and managers working on a daily basis to develop architectures and technology that are driving future data center designs. Amazon Engineers are constantly challenged to quickly deliver the highest quality and most technically efficient data centers in the world.The Controls System Development Engineer is responsible for PLC programming, technical writing tasks, electrical schematic interpretation to IO lists, parts BOM creation, full system development, scaling system design (operational performance & scalability), OT networking, OS configuration, operational excellence, as well as performing in depth root cause analysis of current AWS developed electrical switchgear and generator automation systems.The ideal candidate will need a wide-ranging background in system development for data center controls systems, IT infrastructure, networking, facility operations, project management and strong leadership skills.If you are passionate about the Customer Experience, think and act with a global perspective and have the ability to contribute to sophisticated innovations in the area of building controls and automation initiatives, this is the challenge you are looking for!Key job responsibilities- Develop, program and iterate sequence of operations and HMI graphics leveraging PLC/PAC/IPC platforms for first of kind and retrofit mechanical infrastructure automation projects to be rolled out at scale globally.- Contribute and maintain a library of standard tested automation logic function blocks.- Expert in IEC61131-3 programming language standards including ladder logic, structured text, function block, and sequential function chart.- Developing automation sequences, mechanical plant strategies, and complex environmental and electrical concepts.- Knowledge of how to successfully operate in high security critical environments while maximizing productivity.- Be Innovative with new solutions to support initiatives, teams, and company goals.- Lead and facilitate collaboration through multiple teams including construction, commissioning, development engineers, MEP/ACS engineers, and team managers as necessary to accomplish initiative goals on time.- Create, maintain, and disseminate specification documents that pertain to global projects for automation system development.- Vendor selection, bid review, RFI support and coordination.- Central point of contact for multiple internal and external groups regarding mechanical controls standards. Manage and prioritize requests for information on new construction builds, existing site facilities support and legacy site enhancement projects.- Interaction with AWS cloud services and other applications in order to present, archive, deploy and analyze accumulated data.- Expect to travel globally when needed to manage and/or support project initiatives.A day in the lifeThe SysDev Engineer works with AWS stakeholders ranging from Sr and Principle MEP Engineering, Product and Program managers, and Operations to create and iterate upon the AWS Infrastructure Automation products. Depending on scope and size of projects, this includes developing these systems jointly with the other developers on the team as well as on smaller projects as the sole engineer responsible for all aspects.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.#DCE_P&SBASIC QUALIFICATIONS- 3+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience- 4+ years of non-internship professional software development experience- 2+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 4+ years of systems development in an IT or data center environment experience- 2+ years of systems design, software development, operations, automation, and process improvement experiencePREFERRED QUALIFICATIONS- 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience taking a leading role in building complex software or computing infrastructure that has been successfully delivered to customers- Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in productionAmazon 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.
Full Time
5/8/2025
Bellevue, WA 98004
(39.5 miles)
Alexa is the voice activated digital assistant powering devices like Amazon Echo, Echo Dot, Echo Show, and Fire TV, which are at the forefront of this latest technology wave. To preserve our customers’ experience and trust, the Alexa Sensitive Content Intelligence (ASCI) team creates policies and builds services and tools through Machine Learning techniques to detect and mitigate sensitive content across Alexa. We are looking for an experienced Senior Applied Scientist to build industry-leading technologies in attribute extraction and sensitive content detection across all languages and countries.An Applied Scientist will be a tech lead for a team of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in NLP or CV related tasks. You will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build customer facing experiences. You will collaborate with and mentor other scientists to raise the bar of scientific research in Amazon. Your work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies.We are looking for a leader with strong technical experiences a passion for building scientific driven solutions in a fast-paced environment. You should have good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience of building large-scale distributed systems to creating reliable, scalable, and high-performance products. In addition to technical depth, you must possess exceptional communication skills and understand how to influence key stakeholders.You will be joining a select group of people making history producing one of the most highly rated products in Amazon's history, so if you are looking for a challenging and innovative role where you can solve important problems while growing as a leader, this may be the place for you.Key job responsibilitiesYou'll lead the science solution design, run experiments, research new algorithms, and find new ways of optimizing customer experience. You set examples for the team on good science practice and standards. Besides theoretical analysis and innovation, you will work closely with talented engineers and ML scientists to put your algorithms and models into practice. Your work will directly impact the trust customers place in Alexa, globally. You contribute directly to our growth by hiring smart and motivated Scientists to establish teams that can deliver swiftly and predictably, adjusting in an agile fashion to deliver what our customers need.A day in the lifeYou will be working with a group of talented scientists on researching algorithm and running experiments to test scientific proposal/solutions to improve our sensitive contents detection and mitigation. This will involve collaboration with partner teams including engineering, PMs, data annotators, and other scientists to discuss data quality, policy, and model development. You will mentor other scientists, review and guide their work, help develop roadmaps for the team. You work closely with partner teams across Alexa to deliver platform features that require cross-team leadership.About the hiring groupAbout the teamThe mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics.The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.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 programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computingPREFERRED QUALIFICATIONS- Experience using Unix/Linux- Experience in professional software developmentAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Full Time
5/8/2025
Bellevue, WA 98004
(39.5 miles)
The Data Center Field Engineering Team is the engineering owner for the lifecycle of AWS data centers. This includes supporting new designs/innovations through data center end-of-life, with a focus on root cause analysis of failures, capacity and availability improvement, and optimization of the existing fleet. As a Field Engineering Portfolio Engineer, you are an exceptionally strong communicator, both written and verbally. You will lead multi-discipline and highly technical teams. You will have experience of working in a complex engineering environment and will have worked on increasingly complex projects in multiple disciplines. Your experience includes data center MEP infrastructure technologies including HVAC, power distribution systems, and controls. You will generate and maintain enhanced reporting, meaningful KPIs, and process/automation improvements to ensure team efficiency and visibility of the portfolio efforts to critical stakeholders and leadership. You will partner with other engineering teams, operations staff, and project execution/delivery teams regularly. You will make strategic decisions regarding specific projects and overall program direction. You will be capable of connecting long-term strategies with rapid growth patterns of AWS, as well as guide specific operational needs of the business.You must be adept at identifying and communicating upcoming risks, issues, and bottlenecks as well as be instrumental in resolving those issues, often cross multiple departmental boundaries to achieve your goal. You must possess a strong sense of organization, communication and team building skill-sets that foster robust working relationships for both internal and external stakeholders.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• Manage fleet-wide MEP availability solutions that require coordination across organizational boundaries in order to succeed. • Understand both technical and business components of availability solutions to drive alignment and implementation plans between engineering, operations, procurement, legal, finance, and other partner stakeholder teams. • Full lifecycle ownership from availability risk identification to global fleet-wide resolution. • Develop complete standards and processes for tracking, reporting, and closure of risks. • Prepare narratives for executive leadership with recommendations which articulate decision points relative to cost, timing, and strategic trade-offs.• Capture, share and leverage technical program management best practices with other product and program managers in Data Center Engineering.• Learn and understand the AWS data center lifecycle specific to Data Center Engineering, globally. A day in the lifeAmazon's vision is to be the world's most customer-centric company, and this role is key to that vision. As a Field Engineering Portfolio Engineer, you will be leading teams to optimize the Field Engineering portfolio to meet ever-evolving customer needs as we continue expanding our data center fleet to hyper-scale. As an ideal candidate you:• Possess Strong Engineering Judgement and are able to provide recommendations despite uncertainty• Are detail and data oriented• Have experience managing engineering projects.• Build trust and relationships with different stakeholders (e.g., Operations, Commissioning, Construction and Design)• Up to 10% travel expected.• Have fun and work hard! Each day you will interact with different teams responsible for all aspects of the data centers. You will prioritize your activities to support data center capacity availability and safety focusing on the actions that are most impactful. You will have the opportunity to work on projects locally and globally. If you meet these qualifications, exude passion, and enjoy the challenge of innovative projects at hyper-scale, this job is for you!Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.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 we 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.Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced lifeboth in and outside of work.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse 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 or equivalent experience.• 7+ cumulative years of experience with industrial or commercial engineering or project management in Mission Critical facilities including but not limited to: data centers, power generation, oil / gas facilities. (Experienced Project Manager/Engineer)• 5+ cumulative years of experience with global portfolio/program management working with cross functional teams• Possess excellent communication and writing skills, attention to detail, and high quality standardsPREFERRED QUALIFICATIONS• Basic understanding of both mechanical and electrical equipment/design related to data centers (Including but not limited to: uninterruptable power sources, diesel generators, electrical switchgear, power distribution units, variable frequency drives, automatic/static transfer switches, chillers [air-cooled and water-cooled], pumps, cooling towers, heat exchangers, CRAHs, air economizers, etc...)• EPMS/SCADA/BMS Controls system experience (software and/or hardware)• Experience developing continuous improvement processes including KPIs/SLAs, runbooks, and reporting mechanisms • Ability to develop solutions and execute plans on complex projects• Previous ownership of fast track design/build projects and or multiple significant upgrade 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 $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.
Full Time
5/8/2025
Bellevue, WA 98004
(39.5 miles)
AI for Domains (AIDO) team is part of Alexa Conversational Assistant Services organization where our mission is to create a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for talented and experienced science leader in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP) and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have solid technical background and extensive experience in leading projects and technical teams. The ideal candidate would also have experiences in developing natural language processing systems (particularly LLM based systems) for industry applications, enjoy operating in highly dynamic and ambiguous environments, be self-motivated to take on challenging problems to deliver customer impact.Key job responsibilitiesAs a Senior Applied Scientist, you will: * Build a strong and coherent team with particular focus on sciences and innovations in LLM technologies for conversation AI applications* Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams* Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledgeBASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics, or a related field.- Solid ML background and familiar with standard NLU, NLG, and LLM techniquesPREFERRED QUALIFICATIONS- PhD in Computer Sciences, Electrical Engineering, or Mathematics with specialization in machine learning, deep learning, or natural language processing- 4+ years experience in building conversational AI and/or natural language processing systems.- Publications at peer-reviewed NLP/ML conferences (e.g. ACL, EMNLP, NAACL, NeurIPS, ICLR, ICML, AAAI, etc.)- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.- 5+ years experience with large scale distributed systems such as Hadoop, Spark etc.- Excellent written and spoken communication skillsAmazon 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.
Full Time
5/8/2025
Seattle, WA 98104
(35.4 miles)
Do you want to re-invent how millions of people consume video content on their TVs, Tablets and Alexa We are building a free to watch streaming service called Fire TV Channels (https://techcrunch.com/2023/08/21/amazon-launches-fire-tv-channels-app-400-fast-channels/). Our goal is to provide customers with a delightful and personalized experience for consuming content across News, Sports, Cooking, Gaming, Entertainment, Lifestyle and more.You will work closely with engineering and product stakeholders to realize our ambitious product vision. You will get to work with Generative AI and other state of the art technologies to help build personalization and recommendation solutions from the ground up. You will be in the driver's seat to present customers with content they will love.Using Amazon’s large-scale computing resources, you will ask research questions about customer behavior, build state-of-the-art models to generate recommendations and run these models to enhance the customer experience. You will participate in the Amazon ML community and mentor Applied Scientists and Software Engineers with a strong interest in and knowledge of ML. Your work will directly benefit customers and you will measure the impact using scientific tools. BASIC QUALIFICATIONS- 3+ years of building machine learning models for business application experience- PhD, or Master's degree and 4+ 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.- Experience with A/B testing- Experience mentoring other scientists- Experience with Generative AI technologiesAmazon 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.
Full Time
5/8/2025
Seattle, WA 98104
(35.4 miles)
The Sr. Applied Scientist will be responsible for building advanced time series forecasting models for Amazon Devices using deep learning techniques and state-of-the-art sequence modeling approaches. They will develop scalable, accurate predictive models leveraging RNNs, LSTMs, and Transformer architectures to drive key decision making that supports critical business decisions (including pricing, promotions and supply chain) for all of Amazon consumer hardware product lines WW. Collaborating with cross-functional teams, they will integrate these models into operational systems to enhance data-driven decision-making and optimize business outcomes. Strong expertise in time series analysis, deep learning frameworks, and computational efficiency will be key to success in this role.Key job responsibilities• Build and implement advanced forecasting models using deep learning techniques, with expertise in time series analysis (trends, seasonality, stationarity) and sequence modeling architectures (RNNs, LSTMs, GRUs, Transformers) to drive decisions for pricing, promotions, and supply chain optimization.• Write efficient, scalable production code in Python, utilizing NumPy, Pandas, and deep learning frameworks (TensorFlow/Keras, PyTorch) to develop and deploy models, while collaborating with data engineers to ensure smooth integration into real-time systems.• Continuously optimize models through sophisticated feature engineering, hyperparameter tuning, and GPU acceleration techniques, while implementing appropriate preprocessing strategies for handling missing values, outliers, and data normalization.• Evaluate and communicate model performance using industry-standard metrics (MAE, RMSE, MAPE), create compelling visualizations using Matplotlib, and provide actionable recommendations to cross-functional teams for pricing, promotions, and supply chain strategies.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.
Full Time
5/8/2025
Bellevue, WA 98004
(39.5 miles)
The Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Computer Vision, Natural Language Processing, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities behind the new Alexa product. Our goal is to make step function improvements in the use of advanced multi-modal LLM models on very large scale computer vision datasets. This is a rare opportunity to develop cutting edge Computer Vision and Deep Learning technologies and apply them to a problem of this magnitude.Some exciting questions that we expect to answer over the next few years include:* How can multi-modal inputs in LLMs help us deliver delightful conversational experiences to millions of Alexa customers * Can combining multi-modal data and very large scale LLM models help us provide a step-function improvement to the overall model understanding and reasoning capabilities We are looking for exceptional scientists who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. Please visit https://www.amazon.science for more information.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 large scale distributed systems such as Hadoop, Spark etc.- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.- PhD in Computer Vision, Robotics and/or Image Processing.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.
Full Time
5/8/2025
Seattle, WA 98104
(35.4 miles)
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 Global Connectivity and Network Availability (GCNA) is the backbone that connects the global AWS network. It is dedicated to controlling the internet traffic that allows users to access their information and applications regardless of where they are in the world. GCNA is responsible for building and designing a complex backbone network that allows internet traffic to flow efficiently between Data Centers and customers.The ideal candidate will share our excitement about cloud computing and will be passionate about delivering high quality services. You will have good knowledge of distributed systems with design and implementation experience, as well as the ability to lead and mentor other engineers. You will be customer centric and enjoy working in a fast-paced environment that requires excellent technical and communication skills. You will join a tenured team of Network Development Engineers and Systems Development Engineers. This is an opportunity to build a new service utilizing AWS technologies. We are looking for a candidate who will be comfortable working with a broad range of data sources and solving problems at scale. As a team we proactively support knowledge-sharing and we embrace opportunities to teach company-wide. Since every business at Amazon relies on a network that runs smoothly, the right candidate will guide the business and communicate value, work collaboratively to develop pragmatic yet flexible solutions and move forward in the face ambiguity. The candidate should be willing to build good working relationships within the team and across AWS.Working at AWS on the GCNA Team Meet Robert, VP: https://youtu.be/8v5i42FL02w Meet Jeyanthan, Software Development Manager: https://youtu.be/5oJe4rXS3OwKey job responsibilitiesAs a Software Development Engineer, you will oversee the complete software development lifecycledefining, prioritizing, designing, building, and testing new features. • Operate an AWS business with globally distributed servers and customers at a massive scale.• Understand what it takes to grow and operate a global business at our scale.A day in the lifeAs a Software Development Engineer, you will problem-solve and innovate in an agile, sometimes ambiguous environment. You will build creative short-term and sustainable long-term solutions with others as passionate as you about this mission. You will use data to make decisions and validate assumptions. You will learn from others and help grow those in your team to achieve their best.About the teamWithin AWS Networking, the Internet Edge organization is responsible for connecting Amazon to the global Internet. With connections to thousands of unique external networks in hundreds of locations across the world, our mission is to deliver an internet connectivity experience that sets the global standard for performance, availability, security, and cost, making Amazon the clear choice for our customers. Our team provides high-performing Internet connectivity for a wide range of use cases, such as retail (amazon.com), video streaming (Prime Video), content delivery (CloudFront), DNS (Route53), AWS services (i.e. EC2/S3), consumer devices (i.e. as FireTV/Kindle/Echo), and more.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- 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.
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