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Careers

At Amazon, we believe that scientific innovation is essential to being the most customer-centric company in the world. Our scientists' ability to have an impact at scale allows us to attract some of the brightest minds across diverse fields including artificial intelligence, robotics, computer vision, economics, and sustainability. Join us in pioneering solutions to complex challenges that not only delight our customers but also help define the future of technology.
  • The program is designed for academics from universities around the globe who want to work on large-scale technical challenges while continuing to teach and conduct research at their universities.
  • The program offers recent PhD graduates an opportunity to advance research while working alongside experienced scientists with backgrounds in industry and academia.
  • Our internship roles span research areas to provide hands-on experience working alongside world-class scientists and engineers to advance the state of the art in your field.
541 results found
  • IN, KA, Bengaluru
    Job ID: 3108127
    (Updated 128 days ago)
    Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional early career research scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History. Key job responsibilities Key Job Responsibilities: • Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing theoretical understanding of Information Theory and Deep Learning fundamentals • Work with senior researchers to optimize Gen AI models for edge platforms using Amazon's Neural Edge Engine • Study and apply first principles of Information Theory, Scientific Computing, and Non-Equilibrium Thermodynamics to model optimization problems • Assist in research projects involving custom Gen AI model development, aiming to improve SOTA under mentorship • Co-author research papers for top-tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings • Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems • Participate in reading groups and research discussions to build expertise in efficient AI and edge computing
  • (Updated 30 days ago)
    Calling all innovative tech enthusiasts! Join our cutting-edge team and dive into the world of distributed systems and high-performance computing. You'll have the opportunity to work on groundbreaking technologies that push the boundaries of computational science, solving complex challenges that have real-world impact. Are you passionate about creating scalable, sustainable computing systems that can power the world's most complex technological challenges? We're seeking innovative graduate researchers to push the boundaries of distributed systems and high-performance computing. We work across multiple Amazon businesses including Annapurna Labs, S3, EC2, and other critical infrastructure teams, though our research is not limited to these organizations. Our teams are committed to pushing the boundaries of distributed systems and high-performance computing, creating solutions that transform how we process and understand complex data Key job responsibilities • Collaborate with senior researchers to design and implement distributed computing solutions. • Design and prototype novel distributed computing architectures that enhance system performance and reliability • Conduct advanced research on scalable fault-tolerant systems for data center and serverless environments An ideal candidate for this role should possess a robust foundation in distributed systems, network architecture, or high-performance computing. The candidate should have hands-on experience with designing, implementing, and optimizing distributed algorithms, scalable network protocols, or parallel computing frameworks. Additionally, they must demonstrate the ability to work seamlessly within interdisciplinary teams, bringing together expertise from various domains such as software engineering, data science, and hardware architecture. This collaborative mindset is essential for developing innovative solutions that push the boundaries of cloud computing technology. A day in the life Your internship will be an immersive journey into advanced computational research. You'll collaborate with world-class scientists and engineers, exploring innovative approaches to solving complex computational problems. Expect to engage in hands-on projects that challenge your technical skills and spark your creativity.
  • (Updated 7 days ago)
    Help shape the future of artificial intelligence by leading breakthrough innovations in web search and Retrieval Augmented Generation at Amazon AGI. We're seeking an exceptional Applied Science Manager to drive the development of next-generation search capabilities to improve agentic applications across Amazon. Your work will directly influence the next generation of Amazon's search and AI systems, improving how millions of users interact with our platforms through more intelligent and efficient information retrieval systems. What will you do?: You will lead a team of scientists to improve our web search capabilities and drive key improvements across multiple agentic systems across Amazon. You will be responsible for: (i) developing novel retrieval and ranking models to improve search, incorporating multiple objectives (e.g. relevance and trustworthiness), 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 customer teams to ensure our dependencies are met and we’re delivering value to the end customers, enhancing information grounding for LLMs; (iv) develop a science roadmap, including publication opportunities and how we can accelerate delivery of customer impact; (v) coach and develop the team, hire, and hold the bar on scientific rigor throughout the team. Technical Focus Areas: An ideal candidate will have demonstrated experience in Information Retrieval Systems (learned sparse and dense retrieval, efficient sparse and ANN indexing, learning-to-rank models, content understanding/information extraction, etc.) and Large Language Models (Retrieval-augmented generation (RAG) architectures, post-training techniques, inference optimization techniques, etc.).
  • (Updated 2 days ago)
    As part of the AWS 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 Team Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design. Key job responsibilities Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Sr. Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will be the thought leader of the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people. A key focus of this role will be developing and implementing advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time. You'll work on designing autonomous AI agents that can make intelligent decisions based on visual inputs, understand customer behavior patterns, and adapt to dynamic retail environments. This includes developing systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues. About the team AWS Solutions As part of the AWS 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. About AWS 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.
  • (Updated 21 days ago)
    About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities As an Applied Science Manager, you will: * Directly manage and lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers. * Develop science and engineering roadmaps for SPB ads CTR prediction with ML and Gen AI solutions, run annual planning, and foster cross-team collaboration on model development and integration to advertising applications. * Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization. * Stay informed about recent scientific publications, industrial research trends, and system designs that are pertinent to the SPB advertising business and bring those insights with the team. About the team The Ad Response Prediction team within Sponsored Products and Brands (SPB) drives personalized shopping experiences for SPB Ads across placements, pages, and devices worldwide. We achieve this through ML and GenAI solutions that include customized shopper response prediction and session-level understanding to optimize every stage of the ad-serving process, from sourcing and bidding to widget discovery and auctions. Our responsibilities include advancing response prediction through model and feature innovations and extending prediction beyond the auction stage to areas such as targeting, sourcing, and bidding. We are seeking an Applied Science Manager with a strong background in ML and Gen AI solutions. The ideal candidate shall have experience managing both scientists and engineers and will be passionate about applying these technologies to the advertising domain.
  • (Updated 0 days ago)
    About Sponsored Products and Brands The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. About our team The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning, high scale low latency systems, and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems, understand customers, and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product, engineering, and science based solutions. Key job responsibilities Responsibilities: - Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences - Surface qualitative and quantitative insights as the voice of the advertisers to shape product direction and ensure product-market fit - Scale ad product adoption across advertisers, agencies, and tool providers - Collaborate with product, science, and engineering teams across SPB and ads to make the right trade-off decisions to build, partner, or build together to scale shopping experiences offsite. Your contributions will be highly visible and instrumental in hitting goals carried by Amazon's leadership team (S-Team). A diverse group of stakeholders will rely on your vision and messaging, including advertisers, agencies, and internal ad sales and operations teams.
  • Are you passionate about robotics and research? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. We’re looking for current PhD students with a passion for robotic research and applications to join us as Robotics Applied Scientist II Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas in robotics such as: robotics, robotics manipulation (e.g., robot arm, grasping, dexterous manipulation, end of arm tools/end effector), autonomous mobile robots, mobile manipulation, movement, autonomous navigation, locomotion, motion/path planning, controls, perception, sensing, robot learning, artificial intelligence, machine learning, computer vision, large language models, human-robot interaction, robotics simulation, optimization, and more! We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth. By applying to this role, you will be considered for Robotics Applied Scientist II Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall). Amazon intern and co-op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co-ops. Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes. The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role. About the team About the team Learn more about Robotics at Amazon: https://amazon.jobs/en/teams/amazon-robotics https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model
  • IN, KA, Bengaluru
    Job ID: 3104970
    (Updated 76 days ago)
    Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.
  • IN, KA, Bengaluru
    Job ID: 3104972
    (Updated 71 days ago)
    Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning and Data Sciences team for India Consumer Businesses. If you have an entrepreneurial spirit, know how to deliver, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you. Major responsibilities - Use machine learning and analytical techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes - Design, development, evaluate and deploy innovative and highly scalable models for predictive learning - Research and implement novel machine learning and statistical approaches - Work closely with software engineering teams to drive real-time model implementations and new feature creations - Work closely with business owners and operations staff to optimize various business operations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Mentor other scientists and engineers in the use of ML techniques A day in the life You will solve real-world problems by getting and analyzing large amounts of data, generate insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the International Emerging Stores organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication. About the team Central Machine Learning team works closely with the IES business and engineering teams in building ML solutions that create an impact for Emerging Marketplaces. This is a great opportunity to leverage your machine learning and data mining skills to create a direct impact on millions of consumers and end users.
  • IN, TS, Hyderabad
    Job ID: 3118990
    (Updated 110 days ago)
    The External System Integration (ESI) team enables Amazon Business to be the preferred procurement solution for enterprises through seamless integrations with external procurement systems. ESI team's charter focuses on allowing businesses of all sizes to integrate Amazon Business with their existing infrastructure (procurement, website, mobile applications, automated systems, etc). As the ESI team's Principal Applied Scientist, you'll be at the forefront of applying AI to solve real-world business problems that directly impact Amazon's fastest-growing segment. In this role you'll have the unique opportunity to build AI systems that serve millions of business customers. This role combines the intellectual challenge of novel AI research with immediate business impact. This is an exciting opportunity to establish AI leadership in B2B procurement working on problems at scale that do not exist anywhere else in the industry. Principal Applied Scientist's at Amazon are trusted technical leaders who tackles intrinsically complex scientific problems by leveraging experience and expertise with machine learning algorithms. They innovate and set the standard for scientific excellence, making decisions that affect the way the algorithms are built and integrated. They scrutinize and review experimental design, modelling choices and the implementation strategy to ensure sustainability and generalizability. They align teams towards coherent strategies and guide their peers towards adopting latest scientific trends. They force multiply by decomposing a hard problem into pieces and get them executed through collaboration. They solicit differing views across the organization and are willing to change their mind as they learn more. They are capable of working with a diverse set of stakeholders and influencing leaders by converting ideas into business impact. Key job responsibilities - Define key research directions by adopting state-of-the-art technology and innovating new solutions - Perform rigorous experiments to convert ideas into actual business impact - Develop long-term strategies, influence teams to adopt those strategies, and jointly design and deliver on goals - Participate in organizational planning, hiring, mentorship and leadership development - Acquire domain expertise and in-depth understanding of related engineering systems - Contribute through patenting and publishing

Science at Amazon around the world

Amazon scientists are working on large-scale technical challenges in a variety of research areas across the globe. Use the pins below to learn more about the customer-obsessed science being conducted at some of our research locations.
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Australia
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China
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India
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Academia

Amazon collaborates with leading academic organizations to drive innovation and to ensure that research is creating solutions whose benefits are shared broadly across all sectors of society.