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
BASIC QUALIFICATIONS
• Enrolled in a Ph.D. degree or equivalent in computer science, statistics, physics, engineering, or related topics.
• Experience in designing experiments, building models, and analyzing complex datasets to derive meaningful insights and business decisions
• Experience and ability to implement algorithms using both toolkits and self-developed code.
• Experience with Java, C++, C, C#, Python, or other programming language
• Experience with R, MATLAB, Stata, or other modeling software.
PREFERRED QUALIFICATIONS
• Hands-on experience developing and deploying optimization
• Experience in causal modeling (e.g., graphical models, causal Bayesian network, potential outcomes, A/B testing, experiments, quasi-experiments) and data science workflows
• Advanced ability to extract complex data sets, cleaning and analysis
• Experience creating prototypes and interactive visualization
• Experience in developing and implementing algorithms, tailored to particular business needs and tested on large data sets
• Experience analyzing both experimental and observational data sets
• Publication(s) at peer-reviewed conferences or journals.
Seattle, WA
Amazon.com, Inc. engages in the retail sale of consumer products and subscriptions in North America and internationally. The company operates through three segments: North America, International, and Amazon Web Services (AWS) segments. It sells merchandise and content purchased for resale from third-party sellers through physical stores and online stores.
The company also manufactures and sells electronic devices, including Kindle e-readers, Fire tablets, Fire TVs, and Echo devices; provides Kindle Direct Publishing, an online service that allows independent authors and publishers to make their books available in the Kindle Store; and develops and produces media content.
In addition, it offers programs that enable sellers to sell their products on its Websites, as well as their own branded Websites; and programs that allow authors, musicians, filmmakers, skill and app developers, and others to publish and sell content. Further, the company provides compute, storage, database, and other AWS services, as well as compute, storage, database offerings, fulfillment, publishing, digital content subscriptions, advertising, and co-branded credit card agreement services.
Additionally, it offers Amazon Prime, a membership program, which provides free shipping of various items; access to streaming of movies and TV episodes; and other services. It serves consumers, sellers, developers, enterprises, and content creators. Amazon.com, Inc. has a strategic partnership with Volkswagen AG. The company was founded in 1994 and is headquartered in Seattle, Washington.