Careers

Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We’re enabling practical AI to make our customers more productive, empowered, and fulfilled. In particular, our work combines large language models (LLMs) with reinforcement learning (RL) to solve reasoning, planning, and world modeling in both virtual and physical environments. Our research builds on that of Amazon’s broader AGI organization, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We’re entering an exciting new era where agents can redefine what AI makes possible. We’d love for you to join our lab and build it from the ground up! Key job responsibilities Responsible for building the infrastructure + SDKs needed to integrate web applications and their associated tasks into a production RL environment with significant concurrency limits and operational requirements. Core Engineering: Architect and deliver robust software solutions throughout the development lifecycle Design and implement applications using modern TypeScript and Python Build and deploy cloud-native applications and RESTful APIs Engineer and optimize high-performance systems at scale Collaboration & Leadership: Collaborate with cross-functional stakeholders to deliver aligned features Mentor junior engineering staff Maintain technical documentation and architectural decision records

The Alexa Connections team is building the worlds most trusted AI assistant, that helps get things done and creates moments of joy. We build LLM-powered, next-generation communication features that help customers connect within the household with features like announcements and drop-In, and with people they care about with features like calling, emailing and texting. Using GenAI we proactively personalize every single connection moment whether its connecting with grandparents or communicating with kids teachers, and you can do it all hands free with Alexa! We are hiring a mature Sr. Manager of Applied Science who is an entrepreneurial big thinker that invents and then biases towards action to solve highest priority customer problems. Our portfolio initiative range from highly confidential innovations to data driven quality problems that needs sciences solutions. You will be leading a team of scientists and partnering with product, engineering and design organizations to building on the latest AGI/LLM systems. If you are holding out for an opportunity to: - Join a leadership group that moves fast towards big audacious goals - Lead an organization to balance solving towards problems while working towards the long term vision - Be surrounded by super passionate mission driven colleagues who will challenge you to grow every day - Solve difficult challenges using your expertise in science to invest practical solutions - Create applications at a massive scale used by millions of people - Work with AGI/LLM systems to deliver real experiences, not just research And you are experienced with… - Driving applied science projects end-to-end from ideation, analysis, prototyping, development, metrics, and monitoring - Conducting deep analyses on massive user and contextual data sets - Proposing viable modeling ideas to advance optimization or efficiency, with supporting argument, data, or, preferably, preliminary results - Designing, developing, and maintaining scalable ML models and LLM's with automated training, validation, monitoring and reporting - Staying familiar with the field and apply state-of-the-art ML techniques to NLP and related optimization problems - Publishing peer-reviewed scientific papers in top journals and conferences And you constantly look for opportunities to… - Innovate, simplify, reduce waste, and increase efficiency - Use data to make decisions and validate assumptions - Automate processes otherwise performed by humans - Learn from others and help those around you grow ...then lets chat! Key job responsibilities As a senior leader, you will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization’s technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, you will grow talents, fostering a culture of excellence and continuous learning to enhance the organization’s ability to solve complex problems.

Join us in the evolution of Amazon’s Seller business! The Selling Partner Growth organization is the growth and development engine for our Store. Partnering with business, product, and engineering, we aim to accelerate the growth of Sellers by providing tools and insights that enable them to make better and faster decisions at each step of selection management. To accomplish this, we offer intelligent insights that are both detailed and actionable, allowing Sellers to introduce new products and engage with customers effectively. We leverage extensive structured and unstructured data to generate science-based insights about their business. Furthermore, we provide personalized recommendations tailored to individual Sellers' business objectives through agentic experience to drive adoption and facilitate growth. These insights and recommendations are integrated into our direct seller-facing products, including Amazon Brand Analytics (ABA), Product Opportunity Explorer (OX), and Growth Agent. We are looking for a talented and passionate Senior Applied Science Manager to lead our key AI initiatives to drive our seller and hence store growth. In this role, you will spearhead the development of a suite of scientific models designed to capture the CX signals to recognize unmet customer demand, identify high value selections in its early stages and generate prioritization signals for high value sellers. You will also lead the development of next generation of agentic experience to surface valuable selection information to sellers directly. The successful candidate will work closely with Product Managers (PM), User Experience (UX) designers, and engineering teams to deliver products that drive significant business impacts in Seller businesses. Key job responsibilities As a Senior Manager for Applied Science, you will: * Lead and grow a team of applied scientists working on selection success * Drive the technical vision for implementing ML and LLM-based solutions to provide the agentic selection recommendation experience and drive seller growth * Drive scalable ML/DL/RL and LLM solutions that can handle the breath and complexity of guiding Amazon 3P sellers to success at scale * Collaborate with product, engineering, and business teams to define and execute the technical roadmap * Translate complex customer problems into practical ML solutions * Monitor and improve key performance metrics for seller performance, ease of use and satisfaction * Stay current with the latest developments in ML/DL/LLM research and identify opportunities for implementation

We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. About the team The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML, robotics, computer vision (CV), natural language processing (NLP), distributed systems and econometrics. Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.

** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and advanced cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon’s data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct market, research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at Tier-1 CV/ML conferences

Are you passionate about innovation? Are you Customer Obsessed? We are looking for a passionate, talented, and inventive Economist with expertise in applied econometrics and causal machine learning to help the Switchback design and implement solutions to answer challenging questions such as optimizing Amazon’s portfolio of retail products Switchback's mission is to empower Amazon teams to make rapid, data-driven decisions on product content optimization. We are building an innovative approach to product content experimentation at Amazon scale, and also through partnerships with Amazon technical teams around the world including Central organizations. You will work with other Scientists and Software Engineers to build causal models supporting business decision making. You will collaborate with recognized experts in business, science and engineering. You will work closely with our business partners to define requirements, propose and review modeling approaches, prototype code and deep dive on analyses to help inform decision making. You will have the opportunity to work with the largest online retail search application in the world, both in terms of users, catalogue size, and computing resources, to build scalable models at the forefront of causal ML/AI and dynamic causal methods, and apply these to large scale datasets.

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon's real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. The Applied Scientist will contribute to the development of AI systems for a new product area. In this role, you will partner with business and technical teams to design and document requirements, and develop technical strategies and applied science roadmaps for delivery of features. The role requires extending existing scientific techniques and inventing new ones to address specific customer needs at a product level. You should be comfortable working semi-autonomously on difficult problems and complex problems with visible risks or roadblocks. You'll work closely with technical leaders within the team. We're looking for scientists who can maintain high standards while moving quickly, prioritizing both rapid experimentation and responsible AI development to deliver measurable customer impact. Key job responsibilities - 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 - Experience with neural deep learning methods and machine learning About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life 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.

The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Research Scientist in the Processor Test and Measurement group. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have a deep and broad knowledge of experimental measurement techniques. Candidates with a track record of original scientific contributions will be preferred. We are looking for candidates with strong engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. Working effectively within a team environment is essential. As a research scientist you will be expected to work on new ideas and stay abreast of the field of experimental quantum computation. Key job responsibilities We are looking to hire a Senior Research Scientist to develop and test novel calibration and optimization tools for Quantum Error Correction on large scale quantum processors. You will be a technical leader on a team of engineers and scientists at the frontier of quantum processor control and error correction. You are expected to develop & lead high-impact research projects that intersect with our engineering roadmap. We are looking for candidates with strong engineering principles and resourcefulness. Organization and communication skills are essential. A day in the life 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. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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. 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. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be either a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum, or be able to obtain a US export license. If you are unsure if you meet these requirements, please apply and Amazon will review your application for eligibility.

The Worldwide Sustainability (WWS) organization leverages Amazon's size, scale, and inventive culture to build a more resilient and sustainable company. WWS manages our social and environmental impacts globally, driving solutions that enable our customers, businesses, and the world to become more sustainable. We are seeking an experienced science leader to drive foundational innovations in sustainability measurement and planning across Amazon's global operations. This role will tackle complex sustainability challenges across all industrial sectors and geographic regions where Amazon operates, building science-driven capabilities for confident decision-making and investments in sustainability initiatives. You will lead a multidisciplinary team of scientists, economists, engineers, and scholars to deliver transformative solutions across multiple environmental impact areas, including carbon, water, waste, biodiversity, and circularity. Your mission centers on building robust measurement systems that accurately capture our current environmental footprints and track progress through actionable metrics, while developing planning capabilities to project future trajectories, quantify initiative impacts, and align goals with the latest environmental science standards. This role is uniquely positioned at the cutting edge of sustainability science, where your leadership will guide teams in leveraging diverse analytical approaches including AI and machine learning, systems simulation, optimization, and life cycle assessment (LCA) to create cost-effective solutions across Amazon's operations. You will own company-wide sustainability science review mechanisms, ensuring methodological rigor while pioneering generative AI applications that transform how we validate data, align methodologies, and generate insights at scale. Success in this role requires building strong relationships across diverse stakeholder groups, translating complex concepts between sustainability domain experts and business leaders across the organization. You will collaborate closely with engineering teams, program teams, and business units to transform emerging scientific standards into practical, scalable solutions, coordinating project planning and resource allocation across multiple teams and initiatives. Your leadership will be instrumental in developing methodologies and models that help Amazon achieve its sustainability goals. Key job responsibilities - Lead and develop a multidisciplinary team of scientists, economists, and engineers to deliver innovative sustainability solutions - Design and execute unified science strategies for measurement, forecasting, and planning across environmental impact areas (carbon, water, waste, biodiversity, circularity) - Develop integrated methodologies spanning key economic sectors (transportation, buildings, cloud computing, packaging, commodities, products/services) - Guide integration of diverse analytical approaches into measurement and forecasting systems, including AI/ML, simulation, optimization, and life cycle assessment. - Own and oversee company-wide Sustainability Science Review processes to maintain methodological rigor and consistency - Partner with product, engineering, and business teams to translate science insights into operational improvements - Provide strategic guidance on emerging science standards, protocols, and data requirements About the team Diverse Experiences: World Wide Sustainability values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Inclusive Team Culture: 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 (inclusive diversity) 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Amazon LEO is Amazon’s low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity. The Amazon LEO Global Capacity Planning team owns designing, implementing, and operating systems that support the planning, management, and optimization of LEO network resources worldwide. We are looking for a talented scientist to implement LEO's long-term vision and strategy for capacity simulations and inventory optimization. This effort will be instrumental in helping LEO execute on its business plans globally. As one of our valued team members, you will be obsessed with matching our standards for operational excellence with a relentless focus on delivering results. Key job responsibilities In this role, you will: Work cross-functionally with product, business development, and various technical teams (engineering, science, R&D, simulations, etc.) to implement the long-term vision, strategy, and architecture for capacity simulations and inventory optimization. Design and deliver modern, flexible, scalable solutions to complex optimization problems for operating and planning satellite resources. Contribute to short and long terms technical roadmap definition efforts to predict future inventory availability and key operational and financial metrics across the network. Design and deliver systems that can keep up with the rapid pace of optimization improvements and simulating how they interact with each other. Analyze large amounts of satellite and business data to identify simulation and optimization opportunities. Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across LEO. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.