Careers

The JP Economics and Decision Science Team is looking for an Intern Economist with experience in empirical economic analysis to conduct research on the impact evaluation and prediction of marketing campaigns in Amazon Japan's online retail business. The successful candidate will work closely with the team to improve the efficiency of designing marketing campaigns. We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets. Knowledge of econometrics and applied microeconomics and familiarity with Stata, R, or Python are necessary. Experience with SQL would be a plus, but not required. These are full-time positions at 40 hours per week, with compensation being awarded on an hourly basis. You will work in a team of economists, data scientists, and engineers and in collaboration with product and finance 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 interns from 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. Key job responsibilities • Use regression analysis to estimate econometric models and develop forecasting solutions that can predict marketing campaign effectiveness. • Collaborate with other economists and data scientists to validate and refine the econometric models. • Work with product managers and software developers to integrate the forecasting models into the campaign management system. • Monitor the accuracy and effectiveness of the forecasting models and make adjustments as necessary. • Communicate your findings and recommendations to team members and stakeholders. A day in the life - Discussions with business partners, as well as product managers and tech leaders to understand the business problem. - Brainstorming with other scientists and economists to design the right model for the problem in hand. - Present the results and new ideas for existing or forward looking problems to leadership. - Deep dive into the data. - Modeling and creating working prototypes. - Analyze the results and review with partners. About the team We are a team of economists, data scientists, and business intelligence engineers supporting Amazon Japan's Customer Growth and Engagement (CGE) org as the one-stop data science enabler. We use analytical insights and products to empower CGE and align strategic decisions across partner teams (e.g., Operations, Delivery Experience, Pricing). We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

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 | Santa Clarita, CA, USA | Seattle, WA, USA | Tucson, AZ, USA

Do you have a strong science background and want to help build new technologies? Do you have a physics background and want to help build and test superconducting circuits? Would you love to help develop the algorithms and models that power computer vision services at Amazon, such as Amazon Rekognition, Amazon Go, Visual Search, etc? We are looking for builders, innovators, and entrepreneurs who want to bring their ideas to reality and improve the lives of millions of customers. Research interns at Amazon work passionately to apply cutting-edge advances in technology to solve real-world problems. As an intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes and work with massive datasets. We hire research science interns to work in a number of domains including: • Quantum Computing • Computer Vision • Robotics • Operations Research • Speech Technologies • Machine Learning • Network Design/Cloud Our science recruitment team is looking for graduate students in several research fields to work as an intern with teams across Amazon including: AWS, Alexa, Advertising, IMDb, Grand Challenge, Consumer, Operations, HR and more! We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | New York, NY, USA | Pasadena, CA, USA | Seattle, WA, USA | Tuscon, AZ, USA

Are you a 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 | Santa Clarita, CA, USA | Seattle, WA, USA | Tucson, AZ, USA

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. About the team The JP Economics team is a central science team working across a variety of topics in the JP Retail business and beyond. We work closely with JP business leaders to drive change at Amazon. We focus on solving long-term, ambiguous and challenging problems, while providing advisory support to help solve short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic/econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP- EU- and US-based interdisciplinary teams. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

We are looking for detail-oriented, organized, and responsible individuals who are eager to learn how to work with large and complicated data sets to solve real-world business problems. Some knowledge of econometrics, as well as basic familiarity with Python is necessary, and experience with SQL would be a plus. This is a full-time position 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, data scientists, and finance managers. These skills will translate well into writing applied chapters in your dissertation and provide you with work experience that may help you with future job market placement. Roughly 85% of interns from 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: New York City, NY, USA | Seattle, WA, USA

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 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: San Diego, CA, USA

The AWS Shanghai AI Lab is looking for a passionate, talented, and inventive staff in all AI domains with a strong machine learning background as an Applied Scientist. Founded in 2018, the Shanghai Lab has been an innovation center of for long-term research projects across domains as machine learning, computer vision, natural language processing, and open-source AI system. Meanwhile, these incubated projects power products across various AWS services. As part of the lablet, you will take a leadership role and join a vibrant team with a diverse set of expertise in both machine learning and applicational domains. You will work on state-of-the-art solutions on fundamental research problems with other world-class scientists and engineers in AWS around the globe and across the boarders. You will have the responsibility to design and innovate solutions to our customers. You will build models to tame large amount of data, achieve industry-level scalability and efficiency, and along the way rapidly grow and build the team. We are open to hiring candidates to work out of one of the following locations: Shanghai, 31, CHN

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. Key job responsibilities Learn the details of both existing LLM frameworks and state of the art causal inference tools leveraged by the Fees Science team. Dive deep into individual business use cases within the fees team. Deliver analyses of high-impact and accuracy that marry causal techniques with natural language prompts and outputs. A day in the life Reading papers in the causal and LLM literature. Deploying models and programming within Unix systems and AWS tools. Designing new experiments and datasets to be run in the framework they will develop, and checking output with scientists and business stakeholders. Writing high quality documentation and code artifacts. About the team Our Fees Science team is a mix of economists, applied scientists, data scientists, and engineers with a 5+ year history of providing scientific solutions within the Amazon fees space. We have had excellent experiences with interns, with multiple full-time offers extended to former interns after graduating. We value diverse backgrounds, rigorous thinking, and scientists who are excited to dive deeply into data and math. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

This project requires predictive modeling through the application of causal – ML methods to experimental data. We have already identified potential modeling approaches based on random forests, neural nets, and LASSO regressions. This project will allow the intern to show their depth of their knowledge in this area applying these strategies in the context of catalog enrichment initiatives and showing its reliability and robustness. Key job responsibilities We expect the intern to deliver: (1) a six-pager doc describing the problem, method, results, and impact to the business, (2) transfer code to other economists who will continue to work on the project after the internship, (3) meet and interact with business stakeholders, and (4) present their work to scientists working on the impact measurement of catalog enrichment initiatives. About the team Catalog Experimentation and Impact Measurement (CEM) assesses the impact of catalog enrichment initiatives, such as enhancing titles, images, and product descriptions, through customer experiments. We aim to create an ensemble of causal machine learning models to predict the impact of planned enrichment initiatives, aiding in their prioritization and expediting the reporting process. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA