Careers

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers that work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Amazon Robotics is seeking Applied Science Interns and Co-ops with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects within robotics. Examples of projects include allocating resources to complete a million orders a day, coordinating the motion of thousands of robots, autonomous navigation in warehouses, identifying objects and damage, and learning how to grasp all the products Amazon sells. As an Applied Science Intern/Co-op at Amazon Robotics, you will be working on one or more of our robotic technologies such as autonomous mobile robots, robot manipulators, and computer vision identification technologies. The intern/co-op project(s) and the internship/co-op location are determined by the team the student will be working on. Please note that by applying to this role you would be considered for Applied Scientist summer intern, spring co-op, and fall co-op roles on various Amazon Robotics teams. These teams work on robotics research within areas such as computer vision, machine learning, robotic manipulation, navigation, path planning, perception, optimization and more. Learn more about Amazon Robotics: https://amazon.jobs/en/teams/amazon-robotics

Amazon Search JP builds features powering product search on the Amazon JP shopping site and expands the innovations to world wide. As an Applied Scientist on this growing team, you will take on a key role in improving the NLP/LLM, matching, navigation, personalization and ranking capabilities of the Amazon product search service. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing new technology components that cover a wide range of languages and systems. As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP, LLM and Information Retrieval to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times. Key job responsibilities * Designing and implementing new features and machine learned models, including the application of state-of-art deep learning and GAI/LLM techniques to solve search matching, ranking, navigation and Search assistance and suggestion problems. * Analyzing data and metrics relevant to the search experiences. * Working with teams worldwide on global projects.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Imagine shaping how millions of customers discover and engage with digital music and audio, leveraging the resources of a Fortune-500 company within the atmosphere of a start-up. Love collaborating with a wide range of internal and external partners to drive successful partnerships? If so, come and build the future of music and audio with us. Transform how people enjoy music, audiobooks & podcasts with personalized recommendations as our Applied Scientist in Berlin. Lead the design, development & deployment of data-driven models that recommend the right content at the right time based on customer context & behaviour. Leverage audio data, metadata & listening patterns to create innovative features that personalize the Amazon Music experience. Collaborate with engineers and business teams to ensure coherent personalization across Amazon Music, from conception to productionization. You will make listening magical again through the power of personalization! Please note, PhD, or a Master's degree and experience in CS, CE, ML or related field, or equivalent work experience, is required for the role Key job responsibilities * Create Innovative ML Solutions for Customized Musical Joy You will architect novel machine learning solutions that delight customers with personalized music experiences tailored just for them. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions. * Chart the Course to Musical Discovery As a leader in Amazon Music's personalization mission, you'll set the strategy for your team's personalization science and recommender systems. You'll scout out new directions to guide Amazon Music's quest to match each customer with their perfect playlists. * Publish Pioneering Research You'll produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders. A day in the life Lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, podcasts, live streaming, and more. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization. About the team Bring music to life through machine learning! Our Berlin teams breathe passion into Amazon Music, optimizing each recommendation for our customers' unique tastes. Scale your work across our music apps, web player and Alexa devices, fine-tuning the algorithms behind our popular recommendation and personalization features. Collaborate with leading ML experts in Seattle and San Francisco to create the future of musical engagement, one stream at a time. Help us surprise and delight tens of millions of Amazon Music fans with an ever-better listening experience. Join our mission to personalize music through cutting-edge machine learning!

Project Kuiper is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Project Kuiper will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity. Do you get excited by aerospace, space exploration, and/or satellites? Do you want to help build solutions at Project Kuiper to transform the space industry? If so, then we would love to talk! Key job responsibilities • Work cross-functionally with product, business development, and various technical teams (engineering, science, simulations, etc.) to execute on the long-term vision, strategy, and architecture for the science-based global demand forecast • Design and deliver modern, flexible, scalable solutions to integrate data from a variety of sources and systems, increasing forecast accuracy over time • Work closely with the capacity planning science team to ensure that demand forecasts feed seamlessly into their systems to deliver continuous optimization of resources. • Lead short and long terms technical roadmap definition efforts to deliver solutions that meet business needs in pre-launch, early-launch, and mature business phases • Synthesize and communicate insights and recommendations to audiences of varying levels of technical sophistication to drive change across Kuiper. 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.

Are you passionate about working with Amazon-scale data, advanced analytics, and data science? Do you love bringing data together from diverse systems and sources and working on innovative advanced analytics problems for creating deep understanding of customer behavior and generating actionable business insights? Does the idea of working closely with a team of highly experience machine-learning scientists and engineers excite you? We looking for an experienced, self-driven Data Scientist to help us synthesize data into knowledge for our Comixology business. If you love comics, manga or graphic novels, and want to harness the power of data to develop a deeper understanding of customer behavior, identify growth opportunities, impact comics shopping & discovery experiences and influence the business strategy to develop products and features that have a direct impact on the creator and reader experience, this is the role for you! Key job responsibilities As a Sr. Data Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with massive-scale data and providing analytic leadership to scientists, product managers, engineers using these data. You will leverage your knowledge in machine learning, advanced analytics, metrics, reporting, and analytic tooling/languages to analyze and translate the data into meaningful insights. You will closely collaborate with business, scientists, and engineers. You will have end-to-end ownership of operational and technical aspects of the insights you are building for the business, and will play an integral role in strategic decision-making. Further, you will build solutions leveraging advanced analytics that enable stakeholders to manage the business and make effective decisions, partner with internal teams to identify process and system improvement opportunities. About the team Minerva is a cross-functional science, analytics, and ML org of highly experienced scientists, BI/data engineers, and software engineers with a critical business mission making revolutionary leaps forward using massive-scale data with advanced analytics and machine learning and helping democratize the publishing industry. We build science-based systems for marketing and content-discovery for indie authors, fraud/abuse, and content risk for our publishing businesses. We also use science to optimize manufacturing, fulfillment, and quality processes.

Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon. The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon. As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes. This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact. Key job responsibilities - Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions. - Invent novel science solutions and develop prototypes to solve business problems. - Review and guide science solutions across the team. - Publish and socialize your and the team's research across Amazon and external avenues as appropriate - Leverage industry best practices to establish repeatable applied science practices, principles & processes.

The Digital Discovery team is part of the Digital Acceleration organization and is seeking a highly motivated, talented, and innovative Applied Scientist to drive the prototyping, optimization, and deployment of machine learning (ML) algorithms. These algorithms will be instrumental in enhancing the discovery of digital products and subscriptions across the Amazon platform. The Digital Discovery team is responsible for developing advanced algorithms and modeling techniques to acquire new customers and improve engagement for digital business including eBooks, Music, Audible, and Prime. In this pivotal role, you will leverage your expertise in machine learning and deep learning to build predictive models aimed at acquiring new customers and driving deeper engagement with existing customers across these digital offerings. This will involve developing propensity models for various digital products, optimizing targeting strategies for different placements, and identifying real-time customer digital interests. Collaborating closely with the engineering team, you will be responsible for the end-to-end lifecycle of these ML models - from architecture and training to production deployment. Your primary focus will be on uncovering customer pain points and devising novel, data-driven solutions to address them. This will require proposing hypotheses, validating them through offline experimentation, and ultimately running rigorous A/B tests to validate the online performance of your innovations. Throughout this process, you will develop production-ready code that can seamlessly integrate with the systems powering Amazon’s digital businesses. Your work will directly contribute to enhancing the discoverability and engagement of digital products and subscriptions. If you are a passionate, self-driven individual who thrives in a fast-paced, collaborative environment and is eager to push the boundaries of what’s possible in AI and ML, we encourage you to apply for this exciting opportunity on the Digital Discovery team. Key job responsibilities - Convert business problem in digital discovery into a Science problem to improve recommendation. - Work with Data Engineering and BI teams to identify features and build data pipelines. - Use and enhance ML Ops tools to train, validate, deploy, and compare the models with automatic retraining. - Explain model performance to tech and business leaders. - Work with peer community in Science to present, review and publish the model reports and papers. - Mentor junior Scientists. About the team Amazon Digital Acceleration powers ordering, subscriptions, and device management for Prime, Amazon Video, Music, Audible, Alexa, and Kindle, amongst other digital businesses. We process billions of digital purchases every year and enable our digital businesses to grow their businesses worldwide. We are on a mission to be earth's best provider of one-time and recurring digital commerce, delivering a seamless and enjoyable post-purchase customer experience.

Are you a MS or PhD student interested in a 2025 Internship in the field of machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for students interested in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. You can find more information about the Amazon Science community as well as our interview process via the links below; https://www.amazon.science/ https://amazon.jobs/content/en/career-programs/university/science https://amazon.jobs/content/en/how-we-hire/university-roles/applied-science Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal intern must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A day in the life At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. Some more benefits of an Amazon Science internship include; • All of our internships offer a competitive stipend/salary • Interns are paired with an experienced manager and mentor(s) • Interns receive invitations to different events such as intern program initiatives or site events • Interns can build their professional and personal network with other Amazon Scientists • Interns can potentially publish work at top tier conferences each year About the team Applicants will be reviewed on a rolling basis and are assigned to teams aligned with their research interests and experience prior to interviews. Start dates are available throughout the year and durations can vary in length from 3-6 months for full time internships. This role may available across multiple locations in the EMEA region (Austria, Estonia, France, Germany, Ireland, Israel, Italy, Luxembourg, Netherlands, Poland, Romania, Spain, UAE, and UK). Please note these are not remote internships.

Prime Video offers customers a vast collection of movies, series, and sports—all available to watch on hundreds of compatible devices. U.S. Prime members can also subscribe to 100+ channels including Max, discovery+, Paramount+ with SHOWTIME, BET+, MGM+, ViX+, PBS KIDS, NBA League Pass, MLB.TV, and STARZ with no extra apps to download, and no cable required. Prime Video is just one of the savings, convenience, and entertainment benefits included in a Prime membership. More than 200 million Prime members around the world enjoy access to Amazon’s enormous selection, exceptional value, and fast delivery. Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities As an Applied Scientist at Prime Video, you will have end-to-end ownership of the product, related research and experimentation, applying advanced machine learning techniques in computer vision (CV), natural language processing (NLP), multimedia understanding and so on. You’ll work on diverse projects that enhance Prime Video’s recommendation systems, image/video understanding, and content personalization, driving impactful innovations for our global audience. Other responsibilities include: • Lead cutting-edge research in computer vision and natural language processing, applying it to video-centric media challenges. • Develop scalable machine learning models to enhance media asset generation, content discovery, and personalization. • Collaborate closely with engineering teams to integrate your models into production systems at scale, ensuring optimal performance and reliability. • Actively participate in publishing your research in leading conferences and journals. • Lead a team of skilled applied scientists, you will shape the research strategy, create forward-looking roadmaps, and effectively communicate progress and insights to senior leadership • Stay up-to-date with the latest advancements in AI and machine learning to drive future research initiatives. About the team At Prime Video, we strive to deliver the best-in-class entertainment experiences across devices for millions of customers. Whether it’s developing new personalization algorithms, improving video content discovery, or building robust media processing systems, our scientists and engineers tackle real-world challenges daily. You’ll be part of a fast-paced environment where experimentation, risk-taking, and innovation are encouraged.

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband network connectivity to unserved and underserved communities around the world. Key job responsibilities The Kuiper SMART team is a team of Machine Learning Engineers, Scientists, and Data Engineers that is working with stakeholders across Kuiper to solve ML and AI problems. We are looking for a passionate, talented, and inventive Applied Scientist with a background in AI, Gen AI, Machine Learning, NLP, to lead delivering best in class automated customer service and business analytic solutions for our partner, the Kuiper Customer Service team. As an Applied Scientist, you will be responsible for the development, fine-tuning, and evaluation of AI models that power our chatbot and IVR solutions. Your work will ensure the chatbot and IVR is accurate, reliable, and continually improving to meet customer needs. This role involves collaborating with cross-functional teams to integrate AI solutions into our customer service platform, monitor their performance, and implement ongoing enhancements. The ideal candidate has experience in successfully building chat bots using AI technologies, measuring their performance and delivering ongoing improvements. About the team In Project Kuiper, we believe that our differences makes us stronger. We are committed to Amazon’s culture of inclusion ingrained in our Leadership Principles, which encourages team members to seek diverse perspectives, learn and be curious, and earn trust. We want to foster a culture of collaboration, delivering results and work/life balance.