Machine Learning Engineer Intern, (MS/PhD) 2026

Netflix • Los Angeles, CA

70d • $40 - $85

About The Position

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.

Requirements

• 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: Practical experience in supervised and/or unsupervised machine learning, data science methods, ML operations, and possibly experience in Large Language Models or Reinforcement Learning.
• Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.).
• 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.
• Great communication skills, both oral and written.
• Intent to return to your degree-program after the completion of the internship.

Benefits

• Internships are paid and are a minimum of 12 weeks, with a choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer) to accommodate varying school calendars.
• The overall market range for Netflix Internships is typically $40/hour - $85/hour.
• Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates.

What This Job Offers

• Career Level: Intern
• Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees