Machine Learning Engineer Intern, (MS/PhD) 2026

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time. We are looking for Machine Learning Engineers to help design, build, and deploy machine learning models and systems that power personalized recommendations, content optimization, search, streaming quality, and other data-driven features across the Netflix platform. We are looking for candidates who will develop and maintain scalable ML pipelines and infrastructure, collaborate with data scientists, product managers, and engineers to translate business needs into ML solutions, and experiment with new algorithms and techniques to improve user experience and operational efficiency. Candidates will be evaluated to find the best fit in one of our organizations, including Content, Choosing & Conversation, Commerce or AI for Member Systems. You can find a detailed list of teams across these organizations to learn more. Applicants are encouraged to express their interest in one or multiple types of teams/ domain areas listed if your skills and qualifications are aligned. We are looking for individuals with the following qualifications: Currently enrolled student pursuing an advanced degree (Master’s or PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Computational Biology, Chemistry, Physics, Cognitive Science or a related field Some experience with the following machine learning areas: Foundational science : Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning. Software engineering : Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.). End-to-end systems : Familiarity end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability. Practical experience with programming and machine learning, evidenced by projects, classwork, or research. Proficiency or familiarity with languages such as Python, Java, Scala, or Spark Experience with ML frameworks and libraries such as Pandas, NumPy, or Scikit-learn Curious, self-motivated, and excited about solving open-ended challenges at Netflix. Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.). Great communication skills, both oral and written. Intent to return to your degree-program after the completion of the internship. For your application to be considered complete You will be sent an Airtable form shortly after you submit your application on our careers site; your application will not be considered complete until you fill out and submit this form. Include a Resume or CV with complete contact information (email, phone, mailing address) and a list of relevant coursework and publications (if applicable).You will be asked to include a short statement describing your research experiences and interests, and (optionally) their relevance to Netflix Research. For inspiration, have a look at the Netflix Research site. Applications will be reviewed on a rolling basis and it’s in the applicant's best interest to apply early. The application window will remain open until roles are filled. About the Internship Program At Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's wor ... (truncated, view full listing at source)