Careers

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 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 looking for a self-motivated, passionate and resourceful Applied Scientist to bring diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. You will spend your time as a hands-on machine learning practitioner and a research leader. You will play a key role on the team, building and guiding machine learning models from the ground up. At the end of the day, you will have the reward of seeing your contributions benefit millions of Amazon.com customers worldwide. Key job responsibilities - Develop AI solutions for various Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods; - Work closely with engineers and product managers to design, implement and launch AI solutions end-to-end; - Design and conduct offline and online (A/B) experiments to evaluate proposed solutions based on in-depth data analyses; - Effectively communicate technical and non-technical ideas with teammates and stakeholders; - Stay up-to-date with advancements and the latest modeling techniques in the field; - Publish your research findings in top conferences and journals. About the team Prime Video Search Science team owns science solution to power search experience on various devices, from sourcing, relevance, ranking, to name a few. We work closely with the engineering teams to launch our solutions in production.

The Amazon AGI SF Lab is focused on developing new foundational capabilities for enabling useful AI agents that can take actions in the digital and physical worlds. We’re enabling practical AI that can actually do things for us and make our customers more productive, empowered, and fulfilled. The lab is designed to empower AI researchers and engineers to make major breakthroughs with speed and focus toward this goal. Our philosophy combines the agility of a startup with the resources of Amazon. By keeping the team lean, we’re able to maximize the amount of compute per person. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. In this role, you will work closely with research teams to design, build, and maintain systems for training and evaluating state-of-the-art agent models. Our team works inside the Amazon AGI SF Lab, an environment designed to empower AI researchers and engineers to work with speed and focus. Our philosophy combines the agility of a startup with the resources of Amazon. Key job responsibilities * Develop training infrastructure to ensure large-scale reinforcement learning on LLMs runs highly efficient and robust. * Work across the entire technology stack, including low level ML system, job orchestration and data management. * Analyze, troubleshoot and profiling complex ML systems, identify and address performance bottlenecks. * Work closely with researchers, conduct MLSys research to create new techniques, infrastructure, and tooling around emerging research capabilities.

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads. 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 forming a new organization within Prime Video to redefine our operational landscape through the power of artificial intelligence. As a Applied Scientist within this initiative, you will be a technical leader helping to design and build the intelligent systems that power our vision. You will tackle complex and ambiguous problems, designing and delivering scalable and resilient agentic AI and ML solutions from the ground up. You will not only write high-quality, maintainable software and models, but also mentor other scientists, influence our technical strategy, and drive engineering best practices across the team. Your work will directly contribute to making Prime Video's operations more efficient and will set the technical foundation for years to come. Key job responsibilities • Lead the design and architecture of highly scalable, available, and resilient services for our AI automation platform. • Write high-quality, maintainable, and robust code to solve complex business problems, building flexible systems without over-engineering. • Act as a technical leader and mentor for other engineers on the team, assisting with career growth and encouraging excellence. • Work through ambiguous requirements, cut through complexity, and translate business needs into scalable technical solutions. • Take ownership of the full software development lifecycle, including design, testing, deployment, and operations. • Work closely with product managers, scientists, and other engineers to build and launch new features and systems. About the team This role offers a unique opportunity to shape the future of one of Amazon's most exciting businesses through the application of AI technologies. If you're passionate about leveraging AI to drive real-world impact at massive scale, we want to hear from you.

The People eXperience and Technology Central Science (PXTCS) team uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. PXTCS is an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. PXTCS is looking for an economist who can apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure impact, and transform successful prototypes into improved policies and programs at scale. PXTCS is looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. A day in the life The Economist will work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team PXTCS is a multidisciplinary science team that develops innovative solutions to make Amazon Earth's Best Employer

The Ads Measurement Science team in the Measurement, Ad Tech, and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of advertiser's ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable our advertisers to optimize their media portfolios. We also own the science solutions for AI tools that unlock new insights and automate high-effort customer workflows, such as custom query and report generation based on natural language user requests. We leverage a host of scientific technologies to accomplish this mission, including Generative AI, classical ML, Causal Inference, Natural Language Processing, and Computer Vision. As an Applied Scientist on the team, you will lead measurement solutions end-to-end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers. Key job responsibilities - Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems - Disambiguate problems to propose clear evaluation frameworks and success criteria - Work autonomously and write high quality technical documents - Implement a significant portion of critical-path code, and partner with engineers to directly carry solutions into production - Partner closely with other scientists to deliver large, multi-faceted technical projects - Share and publish works with the broader scientific community through meetings and conferences - Communicate clearly to both technical and non-technical audiences - Contribute new ideas that shape the direction of the team's work - Mentor more junior scientists and participate in the hiring process About the team We are a team of scientists across Applied, Research, Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML, NLP, CV, Gen AI, and Causal Inference with a diverse range of backgrounds. We partner closely with top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.

Amazon is looking for a passionate and inventive scientist to advance the science in foundational models and Agentic AI. Specifically, as part of our science team in Amazon AWS Agentic AI, you will lead the research and development of techniques for efficient and effective Agent optimization/learning, through various techniques ranging from model fine-tuning (e.g. RL) to context optimization, as a foundational layer for AWS customers to build reliable and performant Agents. You will have the opportunity to take a product from zero to one by influencing directly the product and science roadmap, and impact millions of our customers. You will also gain hands on experience with Amazon’s large-scale computing resources to accelerate advances in foundation models. Key job responsibilities * Develop short-term and long-term science roadmap for research in the broad area of Agent optimization/learning, which could range from RL reward shaping, training efficiency optimization, to automatic prompt optimization and techniques to learn from agent memory. * Develop concrete science plan, implement and validate research idea before moving it to production * Collaborate across product and engineering teams to transfer science innovations into AWS customer facing product. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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 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) conferences, inspire us to never stop embracing our uniqueness. 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 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.

Are you fascinated by the science of learning, how individuals’ learn, and how learning continues to evolve? Are you driven to design and conduct experiments, collect and analyze data, interpret results to solve problems, and transform the way we learn and interact with technology? Are you passionate about applying scientific approaches, principles, and methods to solve complex challenges in learning and credentialing? If so, AWS Training & Certification (T&C) team has an exciting opportunity for you as an Research Scientist. A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You’ll maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible development to deliver measurable customer impact. The work will challenge you to be resourceful, think big while staying connected to the details, translate research, data, and advanced analytics into strategic direction, and embrace a high degree of change and speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Candidates should have end-to-end experience conducting research, as well as advanced modeling skills to uncover perception drivers. They have proficiency in diving deep into large amounts of data and translating research into actionable insights/recommendations. You are an excellent writer who can effectively communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business so you can tailor research that informs stakeholder decision making and strategic tactics. As an Research Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for current and future learners, developers, and organizations. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global functional teams and business and technical organizations. Please visit https://skillbuilder.aws to learn more. Key job responsibilities * Engage in strategic discussions with teams to ensure research generates actionable and on-point findings. * Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences. * Identify opportunities to simplify existing research processes and operate more nimbly. * Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions. * Use advanced statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, latent growth curve modeling, Shapley analysis, etc.). * Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences. * Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research. * Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback. * Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact. * Contribute to team's strategic planning, goals, priorities, and technical roadmaps. * Publish research findings in internal reports and external peer-reviewed when aligned with business needs A day in the life Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations. You communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business and tailor research that informs stakeholder decision making and strategic tactics. About the team The AWS Training and Certifications (T&C) team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications. 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.

Are you fascinated by the science of learning, how individuals’ learn, and how learning continues to evolve? Are you driven to design and conduct experiments, collect and analyze data, interpret results to solve problems, and transform the way we learn and interact with technology? Are you passionate about applying scientific approaches, principles, and methods to solve complex challenges in learning and credentialing? If so, AWS Training & Certification (T&C) team has an exciting opportunity for you as an Research Scientist. A T&C Research Scientist will have deep industry knowledge, leverage technology (AI/ML tools), analyze data, experiment, stay current with trends, identify opportunities, aid in product and strategy development, and provide insights for T&C around the science of learning and what is coming. The role requires extending existing scientific techniques and inventing new ones to understand how learners learn and how learning evolves. You will envision new ways to solve customer problems, create innovative experiences, and enable organizations to solve business problems through upskilling their workforce. The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment. You should be comfortable working semi-autonomously on difficult problems with visible risks or roadblocks. You’ll maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible development to deliver measurable customer impact. The work will challenge you to be resourceful, think big while staying connected to the details, translate research, data, and advanced analytics into strategic direction, and embrace a high degree of change and speed. The scope and scale of what we strive to achieve is immense, but it is also meaningful and energizing. Candidates should have end-to-end experience conducting research, as well as advanced modeling skills to uncover perception drivers. They have proficiency in diving deep into large amounts of data and translating research into actionable insights/recommendations. You are an excellent writer who can effectively communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business so you can tailor research that informs stakeholder decision making and strategic tactics. As an Research Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for current and future learners, developers, and organizations. You will be a part of a global team that is focused on transforming how people learn. The position will interact with global functional teams and business and technical organizations. Please visit https://skillbuilder.aws to learn more. Key job responsibilities - Engage in discussions with teams to ensure research generates actionable and findings. - Apply your expertise in scientific research and analysis to design, experiment, and conduct scalable research projects that address opportunities in learning and credentialing for international audiences. - Identify opportunities to simplify existing research processes and operate more nimbly. - Collaborate with cross-functional teams, including engineers, business, product, and others to define requirements, establish success metrics, and deliver high-quality solutions. - Use statistical methodologies to understand relationships between key metrics and other related measures (e.g., regression, structural equation modeling, etc.). - Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance T&C operational performances and customer experiences. - Continuously explore/evaluate emerging methodologies to improve the accuracy and efficiency of research. - Analyze performance of methods and models, iteratively improving them based on quantitative metrics and feedback. - Communicate concepts and findings effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on opportunities and their potential impact. A day in the life Your work will be resourceful, thinking big, while staying connected details, translate research, data, and advanced analytics into strategic direction, and embrace change and speed. You will be responsible for conducting end-to-end research, as well as leveraging modeling skills to uncover drivers. You dive deep into large amounts of data and translate research into actionable insights/recommendations. You communicate data-driven insights and recommendations through written documents, presentations, and other communication channels. You are a creative problem-solver who seeks to deeply understand the business and tailor research that informs stakeholder decision making and strategic tactics. About the team The AWS Training and Certifications (T&C) team is dedicated to cultivating millions of highly skilled cloud professionals by delivering industry-leading training products and experiences, and certifications. 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.

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of a highly innovative product. The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for a Senior Applied Science manager to join our Applied AI team and lead a cross-functional team of scientists and engineers who work on LLM-based solutions. On our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. You will be responsible for leading a cross functional team of scientists and engineer and developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. We are seeking an experienced Senior Applied Science Manager who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in leading teams that build highly scalable systems and system design, have excellent project management skills, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. Your work will directly impact our customers in the form of novel products and services.

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields. We are seeking a science leader for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey! Key job responsibilities - Serve as a tech lead for defining the science roadmap for multiple projects in the conversational ad experiences space powered by LLMs. - Build POCs, optimize and deploy models into production, run experiments, perform deep dives on experiment data to gather actionable learnings and communicate them to senior leadership - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work closely with product managers to contribute to our mission, and proactively identify opportunities where science can help improve customer experience - Research new machine learning approaches to drive continued scientific innovation - Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences - Help attract and recruit technical talent, mentor scientists and engineers in the team