Research Scientist 5 — Content Representation Models (CRM)

Netflix
United States
Workplace: OnsiteFull timeUSD 466,000 - 750,000 annuallyFunction: Data Science & Machine LearningExperience: 3+ yearsEducation: phdSkills: ["Communication","Collaboration"]

Build and validate applied research to improve how Netflix foundation models understand content. You’ll design representation learning and content embedding approaches (including semantic identifiers, continuous pre-training, and other state-of-the-art methods), run rigorous offline experiments, and partner with foundation-model and personalization application teams to translate results into member-facing impact. This is research that ships—directly improving discovery for 300M+ members.

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FursaFursa
Netflix
Netflix
4 months ago

Research Scientist 5 — Content Representation Models (CRM)

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and validate applied research to improve how Netflix foundation models understand content. You’ll design representation learning and content embedding approaches (including semantic identifiers, continuous pre-training, and other state-of-the-art methods), run rigorous offline experiments, and partner with foundation-model and personalization application teams to translate results into member-facing impact. This is research that ships—directly improving discovery for 300M+ members.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Drive applied research to enhance content understanding capability in Netflix foundation models.
  • •Conceptualize, design, implement, and validate new representation learning and content embedding approaches.
  • •Explore and apply state-of-the-art AI/ML techniques to improve how LLMs and foundation models represent and reason about content.
  • •Develop production-ready solutions and partner with application teams to deliver member-facing impact.
  • •Design and run rigorous offline experiments and evaluations, collaborating with cross-functional teams and contributing to publications.

Pay and Benefits

Salary: USD 466,000 - 750,000 annually
Perks:Health Insurance401kEquityDisabilityLife InsurancePaid LeaveFlexible Time

Key Requirements

  • •Ph.D. in Computer Science or a related field with strong publications in embeddings, representation learning, or a closely related domain.
  • •3+ years of research experience with a track record of delivering quality results.
  • •Deep expertise in machine learning, including practical experience with LLMs and/or foundation models.
  • •Strong software engineering skills in Python (e.g., PyTorch).
  • •Excellent communication and collaboration skills.
Experience:3+ yearsEmbeddingsRepresentation learningLLMsFoundation modelsRecommendation systemsPersonalizationRetrievalMultimodal AI
Education:PhD / Doctorate
Skills:CommunicationCollaboration
Tech Stack:PythonPyTorchLLMsFoundation modelsEmbeddingsRepresentation learningSemantic IDsDistributed trainingLLM pre-trainingFine-tuningDistillationMultimodal AIContinuous pre-training

Company Brief

Netflix
Global subscription streaming service that produces and distributes movies, TV series, and games across multiple devices, operating worldwide with extensive original content and localized offerings.
Industry: Streaming Platforms
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Los Gatos, United States
Founded: 1997
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