Careers

The Artificial General Intelligence Data Service (AGI-DS) team is seeking a dedicated, skilled, and innovative Principal Applied Scientist with a robust background in deep learning, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Principal Scientist within the AGI-DS organization, you will be a trusted part of the technical leadership. You will bring a deep understanding of business and industry context to drive science and technology decisions that shape the development of algorithms and models across the organization. By setting the standard for scientific excellence, you will make critical decisions that align with the strategic goals of the company. A key aspect of your role will be to collaborate closely with talented colleagues to lead the development of advanced approaches and modeling techniques, driving forward the frontier of LLM technology. This includes innovating model-in-the-loop and human-in-the-loop approaches to ensure the collection of high-quality data, safeguarding data privacy and security for LLM training, and more. You will have a direct impact on enhancing customer experiences through state-of-the-art products and services that harness the power of speech and language technology. You will solicit diverse perspectives from across the organization, challenge assumptions, and remain open to changing your views as you learn more. Your technical artifacts and solutions will be exemplary, serving as references and models of excellence for the broader team. You will tackle intrinsically complex problems, acquiring new expertise as needed, and decomposing challenges into straightforward, elegant solutions. You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice. You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development. You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). About the team The Artificial General Intelligence Data Service (AGI-DS) team strives to be best-in-class at acquiring and creating all kinds of data representing human knowledge and preferences, with the highest standards of privacy, security, quality and utility, to power the best AI models and applications on Earth.

We are Stores Foundational AI - M5 team, and we build LLM foundation models that serves a broad spectrum of areas in shopping. Imagine every shopping experience you have on Amazon has our models in the backend. We’re working to improve shopping on Amazon using LLMs, and are searching for a science leader who is passionate about technology, innovation, customer experience, and ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. You will lead a high performing team to work on cutting edge LLM technologies that makes broad customer impact. If you're fired up about being part of a dynamic, data driven team, then this is your moment to join us on this exciting journey!

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. Are you excited to prototype and launch customer-facing sustainability products? Do you have experience delivering data-driven sustainability solutions at scale? The AWS Infrastructure Sustainability Tech team is seeking a passionate, results-oriented Sr. Applied Scientist to contribute to the research, prototyping, and delivery of customer-facing sustainability products. The AWS Infrastructure Sustainability Tech organization builds solutions to integrate sustainability data across AWS infrastructure and operations and support AWS customer’s sustainability goals, AWS’ progress towards net zero carbon goal, renewable energy management, and other cross-cutting sustainability objectives. A successful candidate will have high influence across teams and sustainability stakeholders to make strategic trade-offs between short term opportunities and long term customer and industry trends. You will partner with AWS service, infrastructure (data centers), and Sustainability stakeholders to build AWS Sustainability products and influence partner teams. The role requires excellent communication skills to drive consensus across stakeholders, as well as the ability to thrive in ambiguous problem spaces. You'll partner with various AWS teams to build sustainability products and influence strategic decisions. This high-impact position offers visibility at the highest levels of AWS leadership and the chance to make a significant contribution to our sustainability efforts. If you're passionate about leveraging science and technology to enable a low-carbon future and are ready to tackle real-world problems without ready-made solutions, we encourage you to apply and join our team of world-leading experts in shaping the future of sustainable cloud computing. Additionally, excellent communication, stakeholder management, and problem-solving skills are essential, as is the ability to translate complex sustainability and energy data into customer-facing products. With visibility at the highest levels of AWS leadership, this is an opportunity to make a lasting mark on our sustainability efforts and help unlock the full potential of the AWS Cloud to enable a low-carbon future. If you are a seasoned applied scientist professional excited to drive transformative change, we encourage you to apply. Key job responsibilities - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Collaborate with scientists, engineers, product managers, and stakeholders to design and implement software solutions for science problems - Lead the early investigative / inception phase of strategic sustainability initiatives and effectively influence, negotiate, and communicate with stakeholders to enable hand off of those projects for implementation. -Able to move quickly to building prototypes to unblock core use cases across domains. 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.

Amazon is looking for talented Postdoctoral Scientists to join our Amazon Robotics team for a one-year, full-time research position. The host team is developing novel approaches to mobile robot operation to carry a wide range of loads and perform different roles in Amazon logistics. These robots are used in automating material handling throughout the fulfillment and sortation processes. The team focuses in multi-robot coordination and planning, while developing cost-sensitive solutions. The postdoc is expected to develop novel control and planning algorithms for a fleet of agile robots, working closely with mechanical engineers. Experience with hands-on development and bring-up of robotic systems would be a significant contribution to team goals. Key job responsibilities • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. • Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.

Are you excited about developing AI/ML solutions to revolutionize robotics and automation? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. The Research team at Amazon Robotics is seeking a passionate hands-on Applied Scientist to innovate in the field of planning for fleets of mobile robots. The focus of this position is optimizing movement in warehouses that feature thousands of robots in constant motion moving inventory around the building. Relevant research topics include planning and scheduling for multi robot systems, multi-agent path finding, and developing ML models to render fleet behavior adaptable to varying operating conditions. The work includes eliciting and addressing basic research questions from AR's rich application settings, running large-scale A/B tests on robots in our facilities, and collaborating with engineering teams to deploy solutions in our vast robot fleet. Key job responsibilities * Research vision - Where should we be focusing our efforts * Research delivery - Proving/dis-proving strategies in offline data or in simulation * Production studies - Insights from production data or ad-hoc experimentation * Production implementation - Building key parts of deployed algorithms or models A day in the life Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team You would join our Movement Science team that includes scientists with backgrounds in planning and scheduling, machine learning, and robotics. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: - Planning and coordinating the paths of thousands of robots - Dynamic allocation and scheduling of tasks to thousands of robots - ML models that adapt system behavior to varying operating conditions - Co-design of layouts and the algorithms to optimize movement on them Our team is part the Research, Applied, and Data Science organization within Amazon Robotics, a hub to foster innovation and support scientists across Amazon Robotics.

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and Multimodal (MM) systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs, and MM models. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs and multimodal systems. About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.

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 UCorganization, 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. Come and build the future with us as we change the way the world sees the Cloud! The CloudWatch team in Dublin is looking for a world class Principal Applied Scientist to lead our teams to create the next generation of AI based monitoring solution. CloudWatch is the observability platform of AWS, built for developers, system operators, site reliability engineers (SRE), and IT managers. CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, providing a unified view of AWS resources, applications and services that run on AWS, and on-premises servers. Customers use CloudWatch to set high resolution alarms, visualize logs and metrics side by side, take automated actions, troubleshoot issues, and discover insights to optimize their applications, and ensure they are running smoothly. CloudWatch is one of the largest real time data platforms in the world, processing more than 13 quadrillion metric observations per month! This requires teams in CloudWatch to innovate at an unprecedented scale. In CloudWatch we love giving customers what they want: high quality, highly usable, highly available services. It’s humbling and energizing to work with excellent, dedicated engineers to build and deliver world-leading service monitoring solutions at AWS scale. We’re looking for the brightest minds who will invent, implement, and apply the state of the art machine learning algorithms and systems to our AI based monitoring solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus for CloudWatch and work with other world class scientists and engineers. You will also help us amplify the positive & inclusive team culture we’ve been building. Key job responsibilities As an Principal Applied Scientist, you will take on challenging and ambiguous customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic research or utilize your own out-of-the-box but pragmatic thinking. You will research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data. You will collaborate with scientists and engineers across CloudWatch team as well as directly with customers. You will hire, develop, grow and mentor our junior scientists. About the team About AWS 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. 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. 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.

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! We are seeking a talented and inventive Applied Scientist to join the Prime Video Partner Experience team. You will be a pioneer in implementing the cutting edge ML and Generative AI techniques to the world of Entertainment. Your ability to innovate will unlock new levels of creativity for our content creation partners, optimize business functions, and impact the experience and efficiency of our 3p partners around the world to delight Prime Video customers. Key job responsibilities You will work at the intersection of Science and Engineering and push the boundaries of ML and Generative AI techniques in developing capabilities that delight and motivate our content creation partners to serve their content through Prime Video. The systems you develop will amplify customer acquisition, enhance customer engagement and optimize Prime Video's business functions and digital supply chain. About the team We are the Partner Experience organization in Prime Video, responsible for building cutting edge systems and experiences that enable best in class content management, monetization and analytics for tens of thousands of Prime Video’s 3p partners (Hollywood Studios, Media Houses, Post production houses, content creators).

As a the manager of data science for the Advertising Measurement Research team within Amazon Ads, you will lead a team of data scientists and business intelligence engineers to deliver white papers and case studies. This research plays an influential role in determining the new measurement that we surface to advertisers. Key job responsibilities - Lead of team of scientists, business intelligence engineers, etc., on solving science problems with a high degree of complexity and ambiguity. - Lead team members through the entire process of writing white papers, from the hypothesis stage to data extraction/organization, analyzing results, and communication of the results. - Develop science roadmaps in collaboration with other stakeholders. - Hire and develop top talent, provide technical and career development guidance to scientists and engineers in the organization. - Lead team members to apply statistical and machine learning knowledge to specific business problems and data. - Develop mechanisms to bar raise your team's work, including the science, engineering, and communication of the results through writing and clear visualizations. - Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication. - Do hands-on work as described above, as needed. About the team The Advertising Measurement Research team conducts meta-analyses across advertisers and verticals, with the purpose of developing an understanding of how our advertisers’ investment impacts their businesses, both on- and off-Amazon. To benefit customers directly, we develop case studies or white papers, offering advertisers a comprehensive view of emerging measurement trends and best practices. Also, our work influences new product features and metrics to build.

The Digital Acceleration (DA) team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms for solving Digital business problems. Key job responsibilities: - Research, experiment and build Proof Of Concepts advancing the state of the art in AI & ML. - Work cross-functionally across engineering, product, and business teams to understand customer needs, scope science work, and drive science solutions from conception to customer delivery. - Thrive in dynamic environments, adapting quickly to evolving technical requirements. - Engage in effective technical communication (written & spoken) with coordination across teams. - Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility. - Publish research papers in internal and external venues of repute - Support on-call activities for critical issues Basic Qualifications: - Experience building machine learning models or developing algorithms for business application - PhD, or a Master's degree and experience in CS, CE, ML or related field - Rapidly prototype ML/LLM solutions, evaluate feasibility, and drive projects to production deployment - Knowledge of programming languages such as C/C++, Python, Java or Perl - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing - Proficiency in coding and software development, with a strong focus on machine learning frameworks. - Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. - Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross-functional team setting. Preferred Qualifications - 3+ years of building machine learning models or developing algorithms for business application experience - Have publications at top-tier peer-reviewed conferences or journals - Track record of diving into data to discover hidden patterns and conducting error/deviation analysis - Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations - Comfortable working in a fast paced, highly collaborative, dynamic work environment