Shanghai

Shanghai offers scientific research opportunities in a variety of disciplines, particularly machine learning technology that serves Amazon Web Services (AWS) customers. The Shanghai team includes applied scientists and developers who collaborate with teams in Beijing. Machine learning work at this location is at the heart of a growing and exciting focus area for AWS, enabling a wide range of external and internal customers to save time and resources.

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A close-up view of the revolving door leading into the main lobby of the office building in Shanghai, China, featuring two flower-shaped, metal trash cans

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— Shanghai office building

The office space is located on the sixth and seventh floors of the Digital China Center.

An angled view of the side entrance of the building in Shanghai, China, taken from the sidewalk, showcasing the restaurants and shops attached to the building

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— Shanghai office building

Centrally located within Shanghai's Changning District, the building is in close proximity to retailers, easily accessible transportation, and other popular attractions.

An angled view of the rear entrance into the Shanghai, China, offices featuring lush shrubbery and trees

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— Shanghai office building

Surrounded by lush and calming greenery, the building boasts a variety of eateries and retail tenants. Employees have access to the fully-furnished mother's room, as well as a variety of other amenities.

Research areas

Scientists in Shanghai are conducting research in a number of disciplines, including machine learning, deep learning, graph neural networks, and data science.

Working in Shanghai

Amazon provides scientists room to take risks and fail; a community for collaboration and support for continued learning; and the opportunity to have an impact at global scale. Scientists are encouraged to engage with the research community in many forms, from attending conferences and writing research papers, to contributing to open-source code, and public datasets.

Located at the mouth of the Yangtze River in East China, Shanghai is the largest city by population in China, as well as the country’s economic and financial center. The city also has one of the busiest ports in the world. Shanghai is also home ot renowned landmarks such as the Bund, Yu Garden as well as the modern Lujiazui skyline.

Collaborations

Our Shanghai scientists collaborate with universities and other institutions around the globe. To see a summary of some of Amazon’s scientific collaborations, visit our academic collaborations page.

Open listings

Check out the latest job listings available in China or visit our careers page to see all open science roles.

Amazon Robotics - Research Scientist Intern - Summer 2024

US, MA, North Reading

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. The Research Science team at 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, 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, planning/scheduling, and reinforcement learning. As 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. We are open to hiring candidates to work out of one of the following locations: North Reading, MA, USA

Psychometrician, T&C CC Default and Hiring Team

US, IL, Chicago

To meet the growing demand for Amazon Web Services around the globe, we need exceptionally talented, bright, and driven people. We are looking for a dynamic, organized self-starter to join the AWS Certification Team focusing on holistic strategies and multiple audiences for our AWS Certification offerings. As part of this team, you will be responsible for maintaining the validity of our certifications, supporting development and analysis of practice exams, and contributing to initiatives to improve quality, efficiency, and alignment with AWS technologies, solutions, and services. We are seeking a Psychometrician with experience working with criterion-referenced assessment programs to support a large global AWS Certification program and its corresponding practice exams. In this role, you will support all psychometric aspects of exam development, including job analyses, standard setting, automatic item generation and automated test assembly, applications of natural language processing, item and test analyses, optimal item bank design, and project planning. You will work closely with an existing team of senior psychometricians, certification exam program managers in development, practice exam managers, publishing, delivery, security, product management, and translation/localization to support ongoing analyses of exam data. To be successful in this position, you must be highly motivated, creative, detail-oriented, and a self-starter who is able to think big, execute, yet stay focused on the details. Key job responsibilities • Run item analysis to evaluate quality and performance of exam items • Use automated test assembly procedures to assemble forms or item pools • Work with content development to optimize the health of item banks • Support the development of a cloud-based analytics and reporting system • Interpret and clearly communicate the results of analyses to stakeholders through written and oral reports • Support or conduct standard setting studies to set the passing score for an exam • Support or conduct Job Task Analysis (JTA) workshops and post-JTA survey analyses to define the blueprint and test specifications for new certifications or updates to existing certifications • Support ongoing efforts to incorporate Automatic Item Generation and Assessment Engineering into the item development processes • Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices A day in the life About Us As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills. Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have twelve employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded employee and enable them to take on more complex tasks in the future. About the team The AWS Certification Team's mission is to recognize individuals with expertise in IT Cloud roles so that they can optimize the use of AWS products and services to transform their business. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Chicago, IL, USA | Seattle, WA, USA

Sr. Applied Scientist, ATS, ATS Network Management Science, AWS

US, WA, Seattle

Amazon Transportation Services is seeking a Sr. Applied Scientist to be part of a team solving complex capacity modeling problems to reduce cost and improve performance. This is a blue-sky role that gives you a chance to bring innovative modeling towards the intersection of Amazon Fulfillment & Amazon Transportation. It will requiring highly scalable solutions and techniques for enabling clean sheet and incremental approaches balancing high solution quality and model run time. You will work closely with product, research science, business/operations and technical leaders throughout ATS Linehaul, Sort Centers, Air, Amazon Delivery, Last Mile Technology and Amazon Fulfilment teams and will be responsible for building capabilities at the intersection of these groups to optimize capacity utilization. This will include analyzing large amounts of business data, building end-to-end data pipelines, models and production code, and building the capabilities that will enable us to improve end to end Amazon performance. The end to end component makes this a unique role as you will be developing an integrated vs siloed solutions. This role has exposure to senior leadership as we communicate results and provide scientific guidance to the business. Your insights will also be key to influencing funding decisions in areas of investment that you identify as critical future product offerings. The ideal candidate will have extensive experience in science work (with a focus on optimization), business analytics and have the aptitude to incorporate new approaches and methodologies while dealing with ambiguities. Excellent business and communication skills are a must to develop and define key business questions and build models that answer those questions. You should have a demonstrated ability to think strategically and analytically about business, product, and technical challenges. Further, you must have the ability to build and communicate compelling value propositions, and work across the organization to achieve consensus. This role requires a strong passion for customers, a high level of comfort navigating ambiguity, and a keen sense of ownership and drive to deliver results. This position requires that the candidate selected be a US Citizen. Key job responsibilities * Partnership with the engineering and operations to drive modeling and design for complex business problems. * Design and prototype decision support tools (product) to automate standardized processes and optimize trade-offs across the full decision space. * Contribute to the short and mid end to end Amazon wide planning studies and analysis. * Lead complex modeling analyses to aid management in making key business decisions and set new policies. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Senior Applied Scientist, Sponsored Products

CA, ON, Toronto

Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We provide recommendations and controls to advertisers to help drive sales and optimize performance for their Sponsored Product campaigns. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. The Sponsored Products Advertiser Growth team is looking for Senior Applied Science leader to develop cutting edge advertiser recommendation (e.g., targeting recommendations, bid and budget recommendations) and optimization systems (e.g. bidding) to innovate on behalf of our 1M+ advertisers. Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar while operating under strict latency constraints. We consistently strive to improve advertiser experiences. We employ deep learning, generative AI and large language models to devise novel solutions to help advertisers create and manage their campaigns. Key job responsibilities As a Senior Applied Scientist, you will work with teams that are constantly raising the bar and innovating on behalf of Sponsored Product advertisers by developing new recommendation and optimization services. You will use our vast advertising datasets to derive insights into advertiser painpoints and opportunities, invent new recommendation and optimization techniques to address them, run A/B tests, and communicate your learnings to senior leadership. You will work with a cross-functional team of scientists, product managers and fellow engineers along with working with partner teams. You will mentor junior scientists and guide them to deliver to their full potential. We are open to hiring candidates to work out of one of the following locations: Toronto, ON, CAN

Intern - Economics, PXT Central Science

US, WA, Seattle

We 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 85% of previous cohorts have converted to full time economics employment at Amazon. If you are interested, please send your CV to our mailing list at econ-internship@amazon.com. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA

Economist, PXT Central Science

US, VA, Arlington

The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal. We are looking for economists who are able to apply economic methods to address business problems. The ideal candidate will work with engineers and computer scientists to estimate models and algorithms on large scale data, design pilots and measure their impact, and transform successful prototypes into improved policies and programs at scale. We are looking for creative thinkers who can combine a strong technical economic toolbox with a desire to learn from other disciplines, and who know how to execute and deliver on big ideas as part of an interdisciplinary technical team. Ideal candidates will work in a team setting with individuals from diverse disciplines and backgrounds. They will work with teammates to develop scientific models and conduct the data analysis, modeling, and experimentation that is necessary for estimating and validating models. They will work closely with engineering teams to develop scalable data resources to support rapid insights, and take successful models and findings into production as new products and services. They will be customer-centric and will communicate scientific approaches and findings to business leaders, listening to and incorporate their feedback, and delivering successful scientific solutions. Key job responsibilities Use reduced-form causal analysis and/or structural economic modeling methods to evaluate the impact of policies on employee outcomes, and examine how external labor market and economic conditions impact Amazon's ability to hire and retain talent. A day in the life Work with teammates to apply economic methods to business problems. This might include identifying the appropriate research questions, writing code to implement a DID analysis or estimate a structural model, or writing and presenting a document with findings to business leaders. Our economists also collaborate with partner teams throughout the process, from understanding their challenges, to developing a research agenda that will address those challenges, to help them implement solutions. About the team We are a multidisciplinary team that combines the talents of science and engineering to develop innovative solutions to make Amazon Earth's Best Employer. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA

Applied Scientist, Amazon Robotics (AR)

US, MA, North Reading

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for scientists, engineers and program managers for a variety of roles. The Research team at Amazon Robotics is seeking a passionate, hands-on Applied Scientist to help create the world’s first foundation model for a many-robot system. The focus of this position is how to predict the future state of our warehouses that feature a thousand or more mobile robots in constant motion making deliveries around the building. It includes designing, training, and deploying large-scale models using data from hundreds of warehouses under different operating conditions. This work spans from research such as alternative state representations of the many-robot system for training, to experimenting using simulation tools, to running large-scale A/B tests on robots in our facilities. Key job responsibilities * Research vision - Where should we be focusing our efforts * Research delivery - Proving/dis-proving strategies in offline data or in simulation * Production studies - Insights from production data or ad-hoc experimentation * Production implementation - Building key parts of deployed algorithms or models About the team You would join our multi-disciplinary science team that includes scientists with backgrounds in planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: - Planning and coordinating the paths of thousands of robots - Dynamic allocation and scheduling of tasks to thousands of robots - Learning how to adapt system behavior to varying operating conditions - Co-design of robotic logistics processes and the algorithms to optimize them Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards. We are open to hiring candidates to work out of one of the following locations: North Reading, MA, USA | Westborough, MA, USA

Applied Scientist (ML), Last Mile Geospatial Science Team

US, WA, Bellevue

Amazon’s location data and routing inputs play a crucial role in our vehicle routing problems and other critical applications for Amazon Last Mile Delivery. As part of the Last Mile Geospatial Science team, you’ll partner closely with other scientists in a collegial environment with a clear path to business impact. You will be part of a team which develops machine learning/deep learning models for building maps, learning geocodes, organizing addresses, estimating transit times, and understanding transporter activities. You will be expected to be an innovator as we chart new courses with our delivery support technologies. Successful candidates will have a broad and deep knowledge of machine learning and deep learning, the ability to map models into scalable, production models, the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers, and be able to take an iterative approach to tackle big, long term problems. Key job responsibilities Build or improve machine learning or deep learning models in the areas of map building, address organization, geocode assignment, transit time estimation, or transporter activity classification. Build scalable solutions to clean and featurize large volumes of geospatial and spatiotemporal data. Build research prototypes and scale successful prototypes to production code, working with engineering partners. Write and present scientific reports and papers. Publish internally and externally. File patents. Technologies in use (may vary by project) include Pytorch, Tensorflow, scikit learn, XGBoost, Spark, SageMaker, and a number of AWS technologies for big data processing. Work may also involve exploring applications of cutting-edge LLMs and VLMs to solve problems in our space. Primary programming language is Python; some models involve knowledge of Java. A day in the life We work backwards from the needs of the Amazon delivery associate and ensure that we provide the cleanest and most accurate geospatial model of the world they encounter every day. Internally, we partner closely with Amazon's vehicle routing and delivery planning and transporter experience teams, to ensure we together build safe and efficient routes, coupled with an intuitive and friction-free navigation experience. About the team We are a team of scientists with breadth in ML, with many having expertise in deep learning as well as a domain such as CV or NLP. We use cutting-edge deep learning and computer vision for some applications, such as map building, while leveraging NLP solutions for others, such as organizing addresses. We are currently actively leveraging LLMs and VLMs in many of our solutions. Often, techniques from different areas have to be combined, using innovative modeling approaches, for a successful production solution. We have strong ties to engineering, product, and other science partners within Amazon Last Mile. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

2024 Machine Learning Intern - Masters Students, Global Engineering Services (GES)

US, WA, Seattle

This role will require on-site attendance and local/regional travel and will not be a virtual - work from home position based in Seattle, WA. This role is a full time (40 hours) 10 week internship starting in the summer of 2024. As a Machine Learning Intern, you will use your experience to initiate the design, development, execution and implementation of scientific research projects. Working closely with data scientists and product managers, you will use your experience in mathematical modeling, statistics and simulation to design models of new policies, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our fulfillment network. Our teams are looking for experience in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning. This position requires superior analytical thinking, and ability to apply their 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. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Sr. Applied Scientist, Minerva

US, CA, San Diego

Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will work with an immense and diverse corpus of text, image, and audio to build generative and discriminative models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems for helping indie authors with marketing their books. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture. As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. Senior MLS’s are specialists with the deep expertise to drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers. Kindle Direct Publishing (KDP) and Print On Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications and systems that empower anyone to realize their dream of becoming a published author. We strive to provide an experience that is powerful, yet simple to use and accessible to all. We focus on building tools that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards. Great candidates for this position will be experts in the areas of data science, machine learning, NLP, optimization, computer vision, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment. Come join us as we continue to revolutionize the book industry! We are open to hiring candidates to work out of one of the following locations: San Diego, CA, USA