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 AGI Autonomy Perception team performs applied machine learning research, including model training, dataset design, pre- and post- training. We train Nova Act, our state-of-the art computer use agent, to understand arbitrary human interfaces in the digital world. We are seeking a Machine Learning Engineer who combines strong ML expertise with software engineering excellence to scale and optimize our ML workflows. You will be a key member on our research team, helping accelerate the development of our leading computer-use agent. We are seeking a strong engineer who has a passion for scaling ML models and datasets, designing new ML frameworks, improving engineering practices, and accelerating the velocity of AI development. You will be hired as a Member of Technical Staff. Key job responsibilities * Design, build, and deploy machine learning models, frameworks, and data pipelines * Optimize ML training, inference, and evaluation workflows for reliability and performance * Evaluate and improve ML model performance and metrics * Develop tools and infrastructure to enhance ML development productivity

We are looking for passionate, talented, and inventive Principal Applied Scientist with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML). As part of our team, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use language technology. You will gain hands on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding. We are hiring in all areas of human language technology: NLU, Dialog Management, Conversational AI, LLMs and Generative AI. A day in the life The team uses generative AI and foundation models to reimagine the experience of all customers on AWS. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

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 Principal 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.

Amazon’s Artificial General Intelligence (AGI) organization is developing a next-generation web-scale information retrieval system to support RAG applications across Amazon. We are looking for a Sr. Applied Scientist with expertise in information retrieval (IR) and ranking to join the team! If you are looking for an opportunity to develop innovative solutions to deep technical problems in web-scale IR, having a massive customer impact, this might be the role for you! As a Sr. Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will invent, develop, and help deploy novel, scalable algorithms to advance the state-of-the-art in our IR stack. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will develop and help lead the execution of multi-year research roadmaps, enabling the team to focus on the right technical challenges to delight our customers. Key job responsibilities You will lead a team of scientists to improve our RAG applications. You will be responsible for: (i) developing novel retrieval and ranking models and partnering closely with engineering to improve model performance; (ii) improve content and query understanding models to deliver improved signal to retrieval and ranking models; (iii) partner closely with content acquisition and client teams to ensure our dependencies are met and we’re delivering value to the end customers, enhancing information grounding for LLMs; (iv) develop science roadmaps for critical web search components; (v) publish your work and remain active in the academic communities; (vi) coach and develop junior scientists. A day in the life A mix of (i) technical deep dives: working with the team to develop the right models, setup good experiments, debug models, etc. (ii) coaching and development: providing feedback, setting up mechanisms to ensure the team’s success, and (iii) working with customers and dependency teams to ensure delivery.

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.

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 is seeking an innovative and high-judgement Senior Applied Scientist to join the Privacy Engineering team in the Amazon Privacy Services org. We own products and programs that deliver technical innovation for ensuring compliance with high-impact, urgent regulation across Amazon services worldwide. The Senior Applied Scientist will contribute to the strategic direction for Amazon’s privacy practices while building/owning the compliance approach for individual regulations such as General Data Protection Regulation (GDPR), DMA, Quebec 25 etc. This will require helping to frame, and participating in, high judgment debates and decision making across senior business, technology, legal, and public policy leaders. A great candidate will have a unique combination of experience with innovative data governance technology, high judgement in system architecture decisions and ability to set detailed technical design from ambiguous compliance requirements. You will drive foundational, cross-service decisions, set technical requirements, oversee technical design, and have end to end accountability for delivering technical changes across dozens of different systems. You will have high engagement with WW senior leadership via quarterly reviews, annual organizational planning, and s-team goal updates. Key job responsibilities * Develop information retrieval benchmarks related to code analysis and invent algorithms to optimize identification of privacy requirements and controls. * Develop semantic and syntactic code analysis tools to assess privacy implementations within application code, and automatic code replacement tools to enhance privacy implementations. * Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence for privacy compliance. * Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the team Amazon Privacy Services own products and programs that deliver technical innovation for ensuring Privacy Amazon services worldwide. We are hiring an innovative and high-judgement Senior Applied Scientist to develop AI solutions for builders across Amazon’s consumer and digital businesses including but not limited to Amazon.com, Amazon Ads, Amazon Go, Prime Video, Devices and more. Our ideal candidate is creative, has excellent problem-solving skills, a solid understanding of computer science fundamentals, deep learning and a customer-focused mindset. The Senior Scientist will serve as the resident expert on the development of AI agents for privacy. They build on their experiences to develop LLMs to develop AI implementations across privacy workflows. They will have responsibilities to mentor junior scientists and engineers develop AI skills.

The Smart Home team is focused on making Alexa the user interface for the home. From the simplest voice commands (turn on the lights, turn down the heat) to use cases spanning home security, home entertainment, and the home environment, we are evolving Alexa into intelligent, indispensable companion that automates daily routines, simplifies interaction with appliances and electronics, and alerts when something unusual is detected. You will be part of a team delivering features that are highly anticipated by media and well received by our customers. As a Senior Applied Scientist, you will work with other scientists and software developers to design and build the next generation of Smart Home voice control using the latest Large Language Models. And, you will have the satisfaction of working on a product your friends and family can relate to, and want to use every day. Key job responsibilities - Developing new inference and training techniques to improve the performance of Large Language Models for Smart Home control and Automation - Developing robust techniques for synthetic data generation for training large models and maintaining model generalization - Mentoring junior scientists to improve their skills, knowledge, and their ability to get things done About the team We are a team of Scientists, Machine Learning Engineers, and Software Developers that work together to make Alexa more insightful and proactive through ambient intelligence - with features like Alexa Hunches that automatically control Smart Home devices. We are interdisciplinary and we act like it - we ask each other questions and value our different perspectives.