Careers

Spend the summer applying your macroeconomic insights to solving problems here at Amazon. Applicants should have some knowledge of applied time series and basic familiarity with Python are necessary. 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 | New York, NY, 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 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: Seattle, WA, USA

Would you like to use econometrics and statistics to impact real world business decisions in Prime Video? Then we have the ideal internship opportunity for you in the Prime Video Economics team. By joining our team you will be using observational and experimental data to solve challenging problems and provide our business partners with the right tools and insights to delight our customers. An internship at Amazon is an opportunity to work with leading scientists and find out how economists can bring real value as part of multi-disciplinary teams. We are looking for a detailed oriented individual with a strong causal inference background. Knowledge of econometrics, as well as basic familiarity with Stata, R, or Python is necessary. Experience in the analysis of Randomized Controlled Trials and SQL is a plus. As part of the team you will be the owner of a high-impact project and receive mentorship and guidance from experienced economists. You will learn how scientists operate in a fast business environment and interact with other scientists and business stakeholders. Roughly 85% of previous intern cohorts have converted to full time scientist employment at Amazon. We are hiring in the following locations: London, GBR We are open to hiring candidates to work out of one of the following locations: London, GBR

Are you excited about applying economic models and methods using large data sets to solve real world business problems? Then join the Economic Decision Science (EDS) team. EDS is an economic science team based in the EU Stores business. The teams goal is to optimize and automate business decision making in the EU business and beyond. An internship at Amazon is an opportunity to work with leading economic researchers on influencing needle-moving business decisions using incomparable datasets and tools. It is an opportunity for PhD students and recent PhD graduates in Economics or related fields. 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, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL would be a plus. As an Economics Intern, you will be working in a fast-paced, cross-disciplinary team of researchers who are pioneers in the field. You will take on complex problems, and work on solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. Roughly 85% of previous intern cohorts have converted to full time scientist employment at Amazon. We are open to hiring candidates to work out of one of the following locations: London, GBR

Are you excited about applying economic models and methods using large data sets to solve real world business problems? Then join the Economic Decision Science (EDS) team. EDS is an economic science team based in the EU Stores business. The teams goal is to optimize and automate business decision making in the EU business and beyond. An internship at Amazon is an opportunity to work with leading economic researchers on influencing needle-moving business decisions using incomparable datasets and tools. It is an opportunity for PhD students and recent PhD graduates in Economics or related fields. 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, as well as basic familiarity with Stata, R, or Python is necessary. Experience with SQL would be a plus. As an Economics Intern, you will be working in a fast-paced, cross-disciplinary team of researchers who are pioneers in the field. You will take on complex problems, and work on solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. In addition to coming up with novel solutions and prototypes, you may even need to deliver these to production in customer facing products. Roughly 85% of previous intern cohorts have converted to full time scientist employment at Amazon. We are open to hiring candidates to work out of one of the following locations: London, GBR

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: Bellevue, 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

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

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

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