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Advance the state of the art in customer-obsessed science.
Luciana Buriol is seen standing in front of a large whiteboard filled with equations, she is standing toward the center, smiling with her hands clasped behind her back
When I thought about coming to Amazon, this is what I wanted to do. It’s a huge problem, complex, and it demands that we be talking with people from different groups.
Luciana Buriol, principal research scientist

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53 results found
  • US, Virtual
    Job ID: 2116223
    (Updated 3 days ago)
    Job summaryWe are looking for an excellent researcher to help us launch AXLab, an experimental lab to de-risk innovations before they reach the live lab stage. For any innovation to be tested, AXLab will create the relevant lab simulation of the Amazon context (our website, Seller Central, etc.) Using human participants, drawn both from university pools and from a curated panel of Amazon stakeholders, our lab simulation will allow us to build safe testbeds for innovation. This lab-based method is grounded in game theory and experimental economics. It has a proven track record for complex innovations. Successful candidates will be detail-oriented, organized, and responsible. They will be eager to learn how to design and implement sophisticated experiments. Some knowledge of econometrics, as well as basic familiarity with experimental methods are required.This is a full-time position at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to design and implement relevant experiments, collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
  • US, WA, Seattle
    Job ID: 2111669
    (Updated 6 days ago)
    Job summaryWe are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com.
  • US, MA, North Reading
    Job ID: 2103220
    (Updated 12 days ago)
    Job summaryNote that this posting is for a handful of teams within Amazon Robotics. Teams include: Robotics, Computer Vision, Machine Learning, Optimization, and more.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 interns with a passion for robotic research to work on cutting edge algorithms for robotics. Our team works on challenging and high-impact projects, including 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. We are seeking internship candidates with backgrounds in computer vision, machine learning, resource allocation, discrete optimization, search, and planning/scheduling. You will be challenged intellectually and have a good time while you are at it!A day in the lifeAs an intern you will develop a new algorithm to solve one of the challenging computer vision and manipulation problems in Amazon's robotic warehouses. Your project will fit your academic research experience and interests. You will code and test out your solutions in increasingly realistic scenarios and iterate on the idea with your mentor to find the best solution to the problem.About the teamWe are a team of roboticists that develop new manipulation and perception approaches for Amazon's robotic warehouses. We focus on problems where a new algorithm can either unlock a new solution or improve how complex tradeoffs are made.
  • US, CA, Virtual Location - California
    Job ID: 2087394
    (Updated 24 days ago)
    Job summaryWe are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL and UNIX would be a plus.These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, scientists, and product managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with placement.Roughly 50% of previous cohorts have converted to full time scientist employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. About the teamThe Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, and including both in scientific applications for use by internal analysts, to provide deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more.Amazon devices are durable consumer goods that delight customers at purchase and over time, and exhibit complementarities across product lines and product generations. Device Economics seeks an expert in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, and mentor talent. This role has broad Devices-wide impact by advancing measurement of market dynamics, product interactions, and improving bundling, applicable across all product lines.
  • Job summaryAs a research science intern, you will be working closely with fellow research scientists and research interns. You will use your experience in modeling, statistics, and simulation to design models of new processes, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed. You will have access to rich datasets to develop mathematical models, create high visibility analytics, and have influence to the direction of the company. This internship requires superior analytical thinking, and ability to apply technical and statistical knowledge to identify opportunities for real world applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so.You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience. Your strong communication skills enable you to work effectively with both business and technical partners.Amazon Science gives you 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 continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.
  • Job summaryAs a research science intern, you will be working closely with fellow research scientists and research interns. You will use your experience in modeling, statistics, and simulation to design models of new processes, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed. You will have access to rich datasets to develop mathematical models, create high visibility analytics, and have influence to the direction of the company. This internship requires superior analytical thinking, and ability to apply technical and statistical knowledge to identify opportunities for real world applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so.You should thrive in ambiguous environments that require to find solutions to problems that have not been solved before. You leverage your exceptional technical expertise, a sound understanding of the fundamentals of Computer Science, and practical experience. Your strong communication skills enable you to work effectively with both business and technical partners.Amazon Science gives you 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 continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.
  • Job summaryAre you a Ph.D. student interested in machine learning, deep learning, automated reasoning, speech, robotics, computer vision, optimization, or quantum computing? We are looking for smart scientists capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for 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 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. Our scientist use our working backwards method to enrich the way we live and work.Please visit https://www.amazon.science for more information.
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Science at Amazon around the world

Amazon scientists are working on hard problems in a variety of research areas across the globe. Click on a pin below to learn more about the customer-obsessed science being conducted at some of our global research locations.
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