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Are you a MS student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for a customer obsessed Data Scientist Intern who can innovate in a business environment, building and deploying machine learning models to drive step-change innovation and scale it to the EU/worldwide.
Job Responsibility:
Work closely with scientists and engineers to architect and develop new algorithms to implement scientific solutions for Amazon problems
Work on an interdisciplinary team on customer-obsessed research
Experience Amazon's customer-focused culture
Create and Deliver Machine Learning projects that can be quickly applied starting locally and scaled to EU/worldwide
Build and deploy Machine Learning models using large data-sets and cloud technology
Create and share with audiences of varying levels technical papers and presentations
Define metrics and design algorithms to estimate customer satisfaction and engagement
Requirements:
Are enrolled in a Master's degree in computer science, machine learning, engineering, or related fields
Speak, write, and read fluently in English
Nice to have:
Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
Experience implementing algorithms using both toolkits and self-developed code
What we offer:
All of our internships offer a competitive stipend/salary
Interns are paired with an experienced manager and mentor(s)
Interns receive invitations to different events such as intern program initiatives or site events
Interns can build their professional and personal network with other Amazon Scientists
Interns can potentially publish work at top tier conferences each year