Careers

Amazon’s drone delivery program is focused on getting items to customers quickly, cost-effectively, and safely. At Prime Air, we are building autonomous systems using sophisticated new technologies that are designed to work at scale to serve our customers. We are delivering to customers in multiple locations and are excited for what’s to come as we grow. We are looking for a Principal Applied Scientist to help drive software quality across Prime Air, raising the bar for performance and correctness of software systems. You will define the tools and approaches needed to apply formal verification, runtime assurance, new testing approaches, metric collection, and other methods to software systems. You will be joining a talented full-stack development team (hardware and software) that is laser-focused on developing safe and efficient drone and traffic management solutions that operate efficiently and deliver packages to our customers at scale. You will work with this team to apply new techniques to our systems and to define processes and tools to enable other team members to ensure that software is correctly implemented. Key job responsibilities - As a Principal Applied Scientist at Amazon Prime Air you will: Develop the value proposition for formal verification, runtime assurance, and other methods for software under development and drive building these approaches into every area of our software development processes. Write, validate, and maintain formal models of the hardware and software. Develop and maintain specifications and machine-checked proofs to demonstrate that code is correct. Develop testing and metric collection approaches related to software quality and testing that ensure integration into software processes. Work with senior leaders in the organization and be the single-threaded owner of communicating the vision for software correctness assurance to leaders within Amazon and to external stakeholders.

Are you a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Must be eligible and available for a full-time (40h / week) 12 week internship between July 2025 and December 2025. Amazon has positions available in San Francisco, CA. The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR. - Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models. - Proficiency in Python, Experience with PyTorch or JAX - Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team Apply now and embark on an extraordinary journey of discovery and innovation! Key job responsibilities - Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics - Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control - Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning - Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders

Are you a brilliant mind seeking to push the boundaries of what's possible with intelligent robotics? Join our elite team of researchers and engineers - led by Pieter Abeel, Rocky Duan, and Peter Chen - at the forefront of applied science, where we're harnessing the latest advancements in large language models (LLMs) and generative AI to reshape the world of robotics and unlock new realms of innovation. As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge robotics technologies. You'll dive deep into exciting research projects at the intersection of AI and robotics. This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning to tackle real-world problems and deliver impactful solutions. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied robotics and AI, where your contributions will shape the future of intelligent systems and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Must be eligible and available for a full-time (40h/ week) 12 week internship between July 2025 and December 2025 Amazon has positions available in San Francisco, CA and Seattle, WA. The ideal candidate should possess: - Strong background in machine learning, deep learning, and/or robotics - Publication record at science conferences such as NeurIPS, CVPR, ICRA, RSS, CoRL, and ICLR. - Experience in areas such as multimodal LLMs, world models, image/video tokenization, real2Sim/Sim2real transfer, bimanual manipulation, open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, and end-to-end vision-language-action models. - Proficiency in Python, Experience with PyTorch or JAX - Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team Apply now and embark on an extraordinary journey of discovery and innovation! Key job responsibilities - Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of LLMs and generative AI for robotics - Tackle challenging, groundbreaking research problems on production-scale data, with a focus on robotic perception, manipulation, and control - Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in areas such as deep learning, reinforcement learning, computer vision, and motion planning - Demonstrate the ability to work independently, thrive in a fast-paced, ever-changing environment, and communicate effectively with diverse stakeholders

We are seeking a Principal Applied Scientist to lead Amazon Customer Service's (ACS) text-based AI initiatives. In this role, you will spearhead the development of our large language model foundations and agentic AI solutions for customer service automation. You will architect scalable chatbot solutions that deliver exceptional customer experiences across multiple channels, languages, and business verticals while optimizing AI-powered tools for Amazon Associates. Key job responsibilities • Lead the development of CS large language model foundations with focus on model performance, latency optimization, and scalability • Design and implement agentic AI architectures that seamlessly integrate automated chatbots with Associate tooling • Drive optimization strategies including model quantization, parallelization, and caching to balance performance and latency • Architect multi-lingual, multi-channel solutions spanning chat, email, and other text-based interfaces • Partner with AGI and Bedrock teams to effectively leverage and optimize LLM infrastructure • Guide technical strategy for transforming both customer experience and Associate operations through generative AI About the team ACS supports core customer segments including Stores, Digital, Devices, Video, Music, Amazon Business, and delivery operations. As a technical leader for conversational AI, you will shape innovations in customer service automation with visibility at the S-Team level.

Join the next science and engineering revolution at Amazon's Delivery Foundation Model team, where you'll work alongside world-class scientists and engineers to pioneer the next frontier of logistics through advanced AI and foundation models. We are seeking an exceptional Senior Applied Scientist to help develop innovative foundation models that enable delivery of billions of packages worldwide. In this role, you'll combine highly technical work with scientific leadership, ensuring the team delivers robust solutions for dynamic real-world environments. Your team will leverage Amazon's vast data and computational resources to tackle ambitious problems across a diverse set of Amazon delivery use cases. Key job responsibilities - Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data. - Solve computational problems to train foundation models on vast amounts of Amazon data and infer at Amazon scale, taking advantage of latest developments in hardware and deep learning libraries. - As a foundation model developer, collaborate with multiple science and engineering teams to help build adaptations that power use cases across Amazon Last Mile deliveries, improving experience and safety of a delivery driver, an Amazon customer, and improving efficiency of Amazon delivery network. - Guide technical direction for specific research initiatives, ensuring robust performance in production environments. - Mentor fellow scientists while maintaining strong individual technical contributions. A day in the life As a member of the Delivery Foundation Model team, you’ll spend your day on the following: - Develop and implement novel foundation model architectures, working hands-on with data and our extensive training and evaluation infrastructure - Guide and support fellow scientists in solving complex technical challenges, from trajectory planning to efficient multi-task learning - Guide and support fellow engineers in building scalable and reusable infra to support model training, evaluation, and inference - Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems- Drive technical discussions within the team and and key stakeholders - Conduct experiments and prototype new ideas - Mentor team members while maintaining significant hands-on contribution to technical solutions About the team The Delivery Foundation Model team combines ambitious research vision with real-world impact. Our foundation models provide generative reasoning capabilities required to meet the demands of Amazon's global Last Mile delivery network. We leverage Amazon's unparalleled computational infrastructure and extensive datasets to deploy state-of-the-art foundation models to improve the safety, quality, and efficiency of Amazon deliveries. Our work spans the full spectrum of foundation model development, from multimodal training using images, videos, and sensor data, to sophisticated modeling strategies that can handle diverse real-world scenarios. We build everything end to end, from data preparation to model training and evaluation to inference, along with all the tooling needed to understand and analyze model performance. Join us if you're excited about pushing the boundaries of what's possible in logistics, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.

As the Nova Act Developer Relations lead, you will play a crucial role in bridging the gap between our cutting-edge technology and the vibrant developer community, ensuring that Nova Act not only meets but exceeds developer expectations. If you are passionate about developer communities, have a knack for technical storytelling, and are excited about the potential of AI to transform web interactions, we encourage you to apply and be a part of the Nova journey. Key job responsibilities * Community Engagement: Act as the primary liaison between Amazon Nova Act and the developer community. Represent Nova Act at conferences, meetups, webinars, and online forums, showcasing how our AI agent can revolutionize web interactions and automation. * Content Creation: Develop compelling narratives, demos, and technical content that highlight the capabilities and benefits of Nova Act. Create sample applications and tutorials that demonstrate the power and versatility of our AI agent in real-world scenarios. * Cross-Functional Collaboration: Work closely with product, engineering, and marketing teams to capture developer feedback, inform product enhancements, and ensure that Nova Act continues to meet the evolving needs of our users. * Event Coordination: Identify and participate in strategic industry events and conferences to promote Nova Act and gather insights from the developer community. About the team We’re 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 AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up!

We’re a new research lab in San Francisco, currently focused on developing new foundational capabilities for enabling useful AI agents. We’re pursuing several key research bets that will enable AI agents to perform real-world actions, learn from human feedback, self-course-correct, and infer our goals. In particular, we are really excited about the work in combining large language models (LLMs) with reinforcement learning (RL) to solve reasoning and planning, learned world models, and generalizing agents to physical environments. Our work builds on that of Amazon’s broader AGI team, which recently introduced Amazon Nova, a new generation of state-of-the-art foundation models (FMs). We’re 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 AI agents are the next playing field; the right research bets can reinvent what’s possible with AI. We’d love for you to join our new lab and build it from the ground up! Key job responsibilities Given the pace of the agent space, research velocity is paramount — in this role, you’ll own the roadmap for the tools on the critical path of the Lab’s research.

Are you interested in computational advertising and sponsored recommendations? Do you thrive in a fast-paced organization with a significant impact on hundreds of millions of customers? Do you love to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems? If so, Amazon Sponsored Products could be the right place for you. The Sponsored Products (SP) Detail Page Experience, Monetization, and Marketplace Intelligence team is responsible for building compelling advertising experiences on one of the most visited destinations on the internet—Amazon’s product detail pages. We focus on delivering personalized, context-aware ads that align with shopper preferences, adapt to seasonal and event-driven moments, and integrate naturally with organic content such as deals, new arrivals, basket-building features, and fast-delivery options. The team operates full-stack—from auction mechanisms to customer-facing experiences—working closely with Amazon Stores to drive the growth of SP on detail pages. Key job responsibilities We are seeking a seasoned and technically proficient leader to own and expand this space. As a single-threaded leader, you will guide the transformation of the detail page into a high-impact surface for product discovery and monetization through scalable, customer-centric advertising solutions—ranging from fully sponsored content to blended ad-organic formats. This role also entails end-to-end responsibility for marketplace operations, including auction allocation and pricing strategies. The successful candidate will apply a diverse set of signals, such as page context, shopper intent, seasonality, regional trends, delivery speed, and return likelihood, as well as deep learning and generative AI models to enhance customer experience, unlock incremental monetization, reduce cost to serve, and drive sustainable advertiser RoAS (return on ad spend). Additionally, the role involves developing real-time dynamic blending systems that optimize ad load and placement to balance business and customer outcomes. This leader will oversee a cross-functional organization of applied scientists, engineers, and product managers, owning core components such as: Tier-1 auction service for detail pages, innovation across large-scale ML, deep learning, and generative AI/LLMs, and design and deployment of new product experiences that improve discovery and deliver business impact. This is a high-impact leadership role at the intersection of personalization, monetization, product innovation, marketplace dynamics, and machine learning—ideal for a strategic, technically fluent, and customer-obsessed leader ready to shape the future of Sponsored Products advertising on Amazon product detail pages.

The Inventory Planning and Control team is looking for an applied scientist to help build next generation models for supply chain systems in the Supply Chain Optimization Technology (SCOT) group. We own the systems that decide where to place hundreds of millions of units of inventory a week, globally, shaping Amazon’s cost structures and value proposition to the customer and ultimately maximizing Amazon’s long term free cash flow. The work is complex and important to Amazon. There are no textbook solutions to the problems we are solving and very few attempts have been made to solve at Amazon's scale, which necessitates deep analytical thinking to solve problems. As a Applied Scientist, you will work with other Scientists, Software Engineers, Product Managers and business teams to understand the current challenges in our inventory systems, map these challenges to scientific models, innovate solutions using techniques in Operations Research, Machine Learning, Statistics, and Optimization and pick the right tools to deploy these solutions at scale. You will be a part of shaping the future of inventory placement systems at Amazon. Your work will be visible to the business leaders in SCOT and will impact on how we serve our customers so that they get the right product at the right time.

Amazon's Advertising Trust (AT) organization is seeking a Director of Applied Science to lead our global science, engineering and data teams. This role will shape the future of advertising trust and safety, overseeing a large and diverse organization across Applied Science, Software Development and Data Engineering teams. Reporting to the VP of Advertising Trust and Privacy, this is a Director of Directors role where you will drive innovation in content understanding, policy automation, and GenAI applications while scaling our capabilities across Amazon's advertising ecosystem. You do not shy away from the direct ownership of scaled model development and deployment in a high availability and complex real time ecosystem. AT is on the forefront of Advertising specific Foundational Model development and the subsequent capabilities that rich metadata can provide to the ad serving bidder. In this role you will be the expert leader charged with partnering with business, sales, product and policy teams to identify and solve the hardest technical problems facing the Ads business. You will lead through a global organization spanning four continents and must influence across organizations, requiring strong leadership skills in managing distributed teams across time zones and cultures. This diverse team structure demands expertise in managing different disciplines while maintaining high standards of technical excellence and operational efficiency and team culture. You have the depth and breadth and domain expertise to provide industry leading science leadership/guidance to the most complex initiatives while also doing hands-on work on the hardest problems that accelerate the team. To succeed in this role, your past work should exemplify resounding business impact at scale and represents industry-first inventions for customers. In your past roles, you lead the definition, design, architecture quality, implementation, and delivery of the most advanced, difficult, cross-cutting, and ambiguous scientific challenges spanning across an organization, ideally in the Ad Tech industry. Key job responsibilities Strategic Leadership * Define and execute the scientific and technical vision for AT's next generation of tools and capabilities. * Drive innovation in GenAI, LLMs, computer vision, and other emerging technologies. * Lead cross-functional planning and execution across science, ,engineering and data teams. * Partner with senior leaders across Amazon Advertising to align on strategic initiatives. * Own the end-to-end delivery of AT's science and technical roadmap. Organizational Development * Build and scale high-performing teams across multiple disciplines and global locations * Drive hiring and development strategies for senior technical talent * Create career growth paths across scientific and technical roles * Establish performance standards and development frameworks * Foster a culture of innovation, inclusion, and technical excellence Technical Innovation * Guide research directions in content understanding, policy automation, and trust & safety * Drive adoption of emerging technologies while ensuring operational excellence * Lead technical planning and resource allocation across teams * Partner with academia and research organizations to advance the state of the art * Represent AT's technical achievements across multiple venues Product & Business Impact * Align technical investments with business priorities and customer needs * Drive measurable improvements in accuracy, efficiency, and scale * Own key metrics across moderation quality, automation rates, and customer satisfaction * Build strong partnerships with business stakeholders and partner teams * Guide product strategy and roadmap development