Research Scientist 5 — Content Representation Models (CRM)

Los Gatos, CA (On-site)

$466K/yr – $750K/yrSenior Level3+ years expFull time

Posted 5 weeks ago

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Job Summary

Own research to production on content understanding for Netflix foundation models, focusing on representations and multimodal reasoning that drive better personalization and retrieval.

  • Growth Infrastructure: Design offline experiments and validate representation learning approaches that translate into member impact.
  • Research to Practice: Deliver production-ready solutions and collaborate with content, foundation models, and personalization teams to ship measurable outcomes.
  • Audience & Tools: Push state-of-the-art embedding and reasoning for multimodal content with PyTorch-based tooling and distributed training.

Job Description

Responsibilities

  • Drive applied research on enhancing content understanding capability in Netflix's foundation models
  • Conceptualize, design, implement, and validate new approaches to representation learning and content embeddings
  • Explore and apply state-of-the-art AI/ML techniques, including methods for improving how LLMs and foundation models represent and reason about content
  • Develop production-ready solutions and partner with application teams to ensure research translates into member-facing impact
  • Design and run rigorous offline experiments and evaluations to validate new approaches
  • Collaborate with cross-functional teams across content understanding, foundation models, and personalization applications
  • Contribute to the broader research community through publications at top venues
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Netflix

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.

Founded in 1997
Los Gatos, CA, US
17K employees (5,792 in marketing)

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Traffic Source Mix
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79.3%
Referral
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Headcount Trend

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Marketing Team

Marketing Team Size
3,426 (19% of company)
Median Career Experience
16 years
Median Tenure
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Marketing Roles Posted (Last 30 Days)
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Funding

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$67.2B
Post IPO Debt, 3 months ago

Funding History

  • Dec 2025
    Post IPO Debt • $67.2B
  • Aug 2024
    Post IPO Debt • $1.8B
  • May 2018
    Post IPO Debt • $2.7M

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