Netflix-posted 2 months ago
$40 - $85/Yr
Intern
Los Angeles, CA
5,001-10,000 employees

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.

  • Currently enrolled student pursuing an advanced degree (PhD) in areas such as Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, Mathematics, Statistics, Data Science, Economics, Computational Biology, Chemistry, Physics, Cognitive Science or a related field
  • Experience programming in at least one programming language (Python, Java, Scala, or C/C++)
  • Familiarity developing ML models using common frameworks (e.g., PyTorch, TensorFlow, Keras) and training on GPUs
  • Familiarity with distributed training and inference paradigms and associated frameworks (eg. DDP, FSDP, HSDP, Deepspeed)
  • Familiarity with end-to-end machine learning pipelines (e.g. training or production deployment) and common challenges like explainability
  • Curious, self-motivated, and excited about solving open-ended challenges at Netflix
  • Great communication skills, both oral and written
  • Comfortable with distributed computing environments such as Spark or Presto
  • Comfortable with software engineering best practices (e.g. version control, testing, code review, etc.)
  • Internships are paid and are a minimum of 12 weeks
  • Choice of fixed start dates in January 2026 (Winter), May or June 2026 (Summer)
  • Compensation range typically $40/hour - $85/hour based on total compensation
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service