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About Amazon Science

Science at Amazon enables new customer experiences, addresses existing customer pain points, complements engineering and product disciplines, and is a critical functional skill for all Amazon businesses. It is this focus on the customer, and the company’s ability to have impact at global scale that attracts some of the brightest minds in artificial intelligence, machine learning, and related fields.

  • Amazon scientists are conducting cutting edge research in areas ranging from machine learning to operations, conversational AI, robotics, quantum computing, and more.
  • Take deep dives into the latest research from Amazon scientists, including in depth looks at research that has been accepted at leading scientific conferences around the world.
  • Amazon is a great place to practice science and have real business impact, but that’s only one part of the story. Our scientists continue to publish, teach, and engage with the worldwide research community.
  • Amazon researchers regularly contribute to the broader scientific community through the public release of code and datasets.
  • Whether you’re a faculty member, student, developer, thought leader or a policy maker, Amazon offers a number of ways to engage with the company’s science community.
  • The company recruits talent from around the world for applied scientists, data scientists, economists, research scientists, scholars, academics, PhDs, and interns.
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Christopher Stratchey wrote, "The separation of practical and theoretical work is artificial and injurious. Much of the practical work done in computing, both in software and in hardware design, is unsound and clumsy because the people who do it have not any clear understanding of the fundamental design principles of their work. Most of the abstract mathematical and theoretical work is sterile because it has no point of contact with real computing." Our customer-obsessed science strategy reliably nudges me back towards the intersection of the practical and theoretical. That's where the really game-changing work is at.
Byron Cook, vice president, distinguished scientist, Automated Reasoning Group
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It means first developing a conviction that the problem we are working on is or will be truly important to customers. It's like asking the five whys — all starting with, ‘Who cares about the problem, and why should they care?’ — before getting down to a mathematical model. Once we are convinced about the value, it's about developing the right science to address the problem — and the problems that have the most customer impact in the long-term often require exciting new science and systems. This helps us focus on science that will really move the needle for our customers and stand the test of time.
Salal Humair, vice president and distinguished scientist, SCOT Inventory, Planning & Control
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Customer-obsessed science means to always put yourself in the customer's shoes to improve the experience. It also means listening to customer pain points, and inventing on their behalf. They will tell you what they don't like, but it is up to us to provide solutions to delight them. Just Walk Out is a prime example of innovative solution addressing the "nobody likes to wait in line" customer pain point.
Gerard Medioni, vice president, distinguished scientist, Physical Stores Tech
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Customer-obsessed science aims to solve customer problems and improve customer experiences. It is aligned with business priorities and brings value to our business. It is science that works backwards from customer needs and pain points, as opposed to forward from technology. It's important not to confuse customer-obsessed science with science that has a short time-horizon — customer-obsessed science be focused on the long-term.
Rajeev Rastogi, vice president, India Machine Learning
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Customer-obsessed science means that you focus on understanding the customer's problem and bringing the best scientific tools to solve the problem. It means that you are not dogmatic about methods, but seek to apply the best method or combination of methods to solve the customer's problem. You invent and simplify, seeking expertise by partnering with others if the best method(s) is not your specialty.
Justine Hastings, vice president, PXT Science
Spyros Matsoukas, Senior Principal Applied Scientist, Alexa AI
Research and development that is grounded on real-world challenges and customer-facing problems. Only by working backwards from the customer, including defining metrics that characterize customer experience, we can ensure that our scientific innovations have measurable impact on customers’ lives.
Spyros Matsoukas, vice president and distinguished scientist, Alexa
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Working backwards from customers means advancing state of art that solves specific customer pain points or builds new delights. The key difference is that we do not start with a solution and then look for problems where that solution can be applied. We start with the desired experience, identify key problems to solve, and then invent novel approaches to solve those problems.
Manoj Sindhwani, vice president, Alexa Speech
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Customer obsession in science means applying the scientific method in service of our customers. Working backwards from the customer; their needs, wants, and pain points, is focusing our work on scientific innovation that is truly impactful. But science is a creative endeavor -- we often find surprises and new insights along the way. As we do, we continuously evaluate new ways to delight our customers.
Nikko Ström, vice president and distinguished scientist, Alexa AI
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Customer-obsessed science is about anticipating customers' needs by devising innovative solutions to challenging problems that customers do not yet realize they have or will have. This allows us to respond quickly with enhanced services when these needs do arise.
Douglas Terry, vice president, distinguished scientist, Database & AI Leadership
Garrett van Ryzin
I was always attracted to practical science — calculating where a projectile will land, how current flows in a circuit, what determines supply and demand. I love understanding how the world works and using this knowledge to make things better. And this is exactly what Amazon's customer-obsessed science is all about, working backwards from what customers value and using science to innovate and make their lives better. It's what great science is all about.
Garrett van Ryzin, distinguished scientist, SCOT
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Inventing devices and services that improve the health and wellness of everyone on the planet.
David Heckerman, vice president and distinguished scientist, Advanced Technologies
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Customer-obsessed science means inventing and applying scientific approaches to understand and solve customer problems. It’s not just about coming up with the best algorithm or model you can think of, but proving it with sound methodology and ensuring it’s applicable to real-world challenges. This is core to everything that we do at Amazon, and it’s what makes us different. We start with our customers and work backwards from their needs, testing and improving our products and services based on their behavior and feedback.
Rohit Prasad, senior vice president and head scientist, AGI

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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US, WA, Seattle
Are you a Masters or PhD student interested in machine learning, natural language processing, computer vision, automated reasoning, or robotics? We are looking for skilled scientists capable of putting theory into practice through experimentation and invention, leveraging science techniques and implementing systems to work on massive datasets in an effort to tackle never-before-solved problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to create technical 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. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists use our working backwards method to enrich the way we live and work. To ensure a great internship experience, please keep these things in mind. This is a full time internship and requires an individual to work 40 hours a week for the duration of the internship. Amazon requires an intern to be located where their assigned team is. Amazon is happy to provide relocation and housing assistance if you are located 50 miles or further from the office location. For more information on the Amazon Science community please visit https://www.amazon.science. We are open to hiring candidates to work out of one of the following locations: Arlington, WA, USA | Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Oceanside, CA, USA | Palo Alto, CA, USA | Quincy, MA, USA | San Diego, CA, USA | Santa Clarita, CA, USA | Seattle, WA, USA
US, VA, Arlington
Amazon launched the Generative AI Innovation Center (GAIIC) in Jun 2023 to help AWS customers accelerate the use of Generative AI to solve business and operational problems and promote innovation in their organization (https://press.aboutamazon.com/2023/6/aws-announces-generative-ai-innovation-center). GAIIC provides opportunities to innovate in a fast-paced organization that contributes to game-changing projects and technologies that get deployed on devices and in the cloud. As an Applied Science Manager in GAIIC, you'll partner with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of data/research/applied scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer’s business and mission problems. Your team will be working with terabytes of text, images, and other types of data to address real-world problems. The successful candidate will possess both technical and customer-facing skills that will allow you to be the technical “face” of AWS within our solution providers’ ecosystem/environment as well as directly to end customers. You will be able to drive discussions with senior technical and management personnel within customers and partners, as well as the technical background that enables them to interact with and give guidance to data/research/applied scientists and software developers. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical issues. Finally, and of critical importance, the candidate will be an excellent technical team manager, someone who knows how to hire, develop, and retain high quality technical talent. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Boston, MA, USA | Jamaica Plain, MA, USA | New York City, NY, USA | New York, NY, USA | Washington Dc, DC, USA | Washington Dc, MD, USA | Washington, DC, USA
US, CA, Sunnyvale
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with multimodal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA
US, CA, Sunnyvale
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA
US, OR, Portland
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building scalable solver solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in AWS Platform, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will: * Define and implement new solver applications that are scalable and efficient approaches to difficult problems * Apply software engineering best practices to ensure a high standard of quality for all team deliverables * Work in an agile, startup-like development environment, where you are always working on the most important stuff * Deliver high-quality scientific artifacts * Work with the team to define new interfaces that lower the barrier of adoption for automated reasoning solvers * Work with the team to help drive business decisions The AWS Platform is the glue that holds the AWS ecosystem together. From identity features such as access management and sign on, cryptography, console, builder & developer tools, to projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second. Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members. Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more. Key job responsibilities Improve state-of-the-art for SAT and SMT solvers, with special focus on cloud optimization. Work closely with internal and external users on defining and extending application domains. Tune solver performance for application-specific demands. Identify new opportunities for solver deployment. About the team Solver science is a talented team of scientists from around the world. Expertise areas include solver theory, performance, implementation, and applications. We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Boston, MA, USA | New York, NY, USA | Portland, OR, USA | Santa Clara, CA, USA | Seattle, WA, USA
US, CA, Santa Clara
Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The Generative AI Innovation Center at AWS is a new strategic team that helps AWS customers implement Generative AI solutions and realize transformational business opportunities. This is a team of strategists, data scientists, engineers, and solution architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and make plans for launching solutions at scale. The GenAI Innovation Center team provides guidance on best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We’re looking for Data Scientists capable of using GenAI and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities As an Data Scientist, you will * Collaborate with AI/ML scientists and architects to Research, design, develop, and evaluate cutting-edge generative AI algorithms to address real-world challenges * Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production * Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder * Provide customer and market feedback to Product and Engineering teams to help define product direction About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | San Francisco, CA, USA | Santa Clara, CA, USA | Seattle, WA, USA
US, CA, Santa Clara
Artificial Intelligence (AI) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations. The Generative AI team helps AWS customers accelerate the use of Generative AI to solve business and operational challenges and promote innovation in their organization. As a data scientist, you are proficient in designing and developing advanced ML models to solve diverse challenges and opportunities. You will be working with terabytes of text, images, and other types of data to solve real-world problems. You'll design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this role you are a talented scientists capable of applying cutting-edge Deep Learning algorithms approaches to diverse industry verticals such as healthcare, drug discovery, customer segmentation, fraud prevention, capacity planning, predictive maintenance, pricing optimization, call center analytics, player pose estimation, event detection, and virtual assistant among others. Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services. Key job responsibilities • Design, develop, and evaluate innovative GenAI models to solve diverse opportunities across various industries • Interact with customers directly to understand their business problems, and be able to help them with defining and implementing scalable Generative AI solutions in order to solve them • Work closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new solutions A day in the life Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. About the team We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Boston, MA, USA | Chicago, IL, USA | Jamaica Plain, MA, USA | New York City, NY, USA | Portland, OR, USA | Santa Clara, CA, USA | Seattle, WA, USA
US, WA, Seattle
Calling all PhD students passionate about machine learning! We are looking for skilled scientists who can transform theory into groundbreaking reality. Join us in revolutionizing the field by harnessing the power of machine learning techniques like random forest, Bayesian networks, ensemble learning, and clustering. Dive into massive datasets and conquer unprecedented challenges with your innovative learning systems. Don’t miss this opportunity to make history and solve problems that have never been cracked before! We are seeking a candidate who thrives in dynamic environments, embraces uncertainty, and possesses a meticulous eye for detail. As an Applied Science Intern, you will take charge of designing and building comprehensive systems from start to finish. This role offers the chance to craft technical roadmaps and spearhead projects of significant impact, bolstering the efforts of Amazon Science. Collaborating closely with Amazon scientists and fellow interns, you will develop innovative solutions and seamlessly implement them into production. The ideal scientist will excel in collaborating with diverse groups and cross-functional teams to tackle intricate business challenges. Amazon Science offers a glimpse into the company’s commitment to customer-obsessed scientific innovation. At Amazon, we firmly believe that scientific breakthroughs are crucial to being the worlds most customer-centric company. It is our ability to make a significant impact on a global scale that enables us to attract the brightest minds in artificial intelligence and related fields. Our scientists employ the use our working backwards approach to revolutionize the way we live and work, constantly enriching our lives with their groundbreaking discoveries. For more information on the Amazon Science community please visit https://www.amazon.science. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Oceanside, CA, USA | Palo Alto, CA, USA | San Diego, CA, USA | Santa Clara, CA, USA | Seattle, WA, USA
US, WA, Seattle
Amazon is looking for graduate students who are ready to explore some of the most interesting research problems on the leading edge of speech technology. We are hiring in all areas including: natural language processing and understanding, ASR, text-to-speech (TTS), text recognition, question answering, NLP models (e.g. LSTM, transformer based models), speech recognition, signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling and more! As an Applied Science Intern-NLP & Speech, you will develop and implement novel scalable algorithms and modeling techniques to advance the state-of-the-art in technology areas at the intersection of ML, NLP, search, and deep learning. You will work side-by-side with global experts in speech and language to solve challenging groundbreaking research problems on production scale data. The ideal candidate must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA | Cambridge, MA, USA | Jamaica Plain, MA, USA | New York, NY, USA | Pittsburgh, PA, USA | Quincy, MA, USA | Santa Clara, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA
US, WA, Seattle
Help us develop the algorithms and models that power computer vision services at Amazon, such as Amazon Rekognition, Amazon Go, Visual Search, and more! We are combining computer vision, mobile robots, advanced end-of-arm tooling and high-degree of freedom movement to solve real-world problems at huge scale. As an intern, you will help build solutions where visual input helps the customers shop, anticipate technological advances, work with leading edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. You will own the design and development of end-to-end systems and have the opportunity to write technical white papers, create technical 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. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. Amazon Science gives insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Amazon Scientist use our working backwards method to enrich the way we live and work. For more information on the Amazon Science community please visit https://www.amazon.science We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, USA | Pasadena, CA, USA | Quincy, MA, USA | Santa Clara, CA, USA | Seattle, WA, USA | Sunnyvale, CA, USA