Netflix-posted 2 months ago
$40 - $85/Yr
Intern
Los Gatos, CA
Motion Picture and Sound Recording Industries

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. Machine Learning Research at Netflix improves various aspects of our business, including personalization algorithms, member and title understanding, creative tooling, system optimization, and innovative tooling. Our research spans many areas of machine learning, including recommender systems, reinforcement learning, computer vision, natural language processing, optimization, causality, and operations research. Great applied research also requires robust machine learning infrastructure, another strong emphasis at Netflix. 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.

  • Conduct research in machine learning to improve Netflix's business aspects.
  • Work on personalization algorithms and member understanding.
  • Develop creative tooling and system optimization techniques.
  • Engage in various machine learning research areas including recommender systems, reinforcement learning, and natural language processing.
  • Collaborate with teams across different domains such as Content, Commerce, and AI for Member Systems.
  • Currently enrolled student pursuing an advanced degree (PhD) in Computer Science, Machine Learning, Artificial Intelligence, or related fields.
  • Domain expertise in areas such as Personalization & Recommender Systems, Natural Language Processing, Reinforcement Learning, Computer Vision, and more.
  • Experience programming in at least one programming language (Python, Java, Scala, or C/C++).
  • Familiarity with developing ML models using frameworks like PyTorch, TensorFlow, or Keras.
  • Curious, self-motivated, and excited about solving open-ended challenges.
  • Comfortable with distributed computing environments such as Spark or Presto.
  • Familiarity with software engineering best practices (e.g., version control, testing, code review).
  • Paid internships with a minimum duration of 12 weeks.
  • Flexible start dates in January 2026 (Winter), May or June 2026 (Summer).
  • Opportunities for conversion or return offers based on business need.
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