Senior Machine Learning Manager, Merchandising and Content Understanding

Netflix

USA - Remote
Base: $676,000.00 - $1,195,000.00; bonus/equity: n...
Remote
Multimodal large language models mllms
Agentic systems development
End-to-end ml research to production
Netflix is seeking a Senior Machine Learning Manager for their Merchandising and Content Understanding team, focusing on leading multidisciplinary teams in developing advanced algorithmic systems and large language models. The role involves strategic oversight, talent management, and cross-functional collaboration to enhance content discovery and engagement globally

Job Summary

  • This role involves defining the strategy for how MLLMs and agentic systems power deep content understanding applications across Netflix globally.
  • The successful candidate will manage a multidisciplinary organization of Research Scientists, ML Engineers, and Data Scientists while driving high-impact algorithmic systems.
  • Netflix offers a unique compensation structure where employees choose their salary versus stock options split, along with comprehensive benefits including flexible time off.

Matching Summary

Match Score: 85

Netflix is seeking a Senior Machine Learning Manager for their Merchandising and Content Understanding team, focusing on leading multidisciplinary teams in developing advanced algorithmic systems and large language models. The role involves strategic oversight, talent management, and cross-functional collaboration to enhance content discovery and engagement globally.

Salary

Base: $676,000.00 - $1,195,000.00; Bonus/Equity: No bonuses; Stock options available with customizable split; Benefits: Health plans, 401(k) match, stock option program, flexible time off

Skills & Requirements

Must-have

  • Multimodal Large Language Models MLLMs
  • Agentic systems development
  • End-to-end ML research to production
  • Managing multiple technical teams
  • Deep learning and algorithmic strategy

Nice-to-have

  • Building inclusive high-trust cultures
  • Cross-organizational strategic influence
  • Thought leadership in ML community
  • Mentoring senior technical leaders

Key Requirements

  • Master's or PhD in Machine Learning or Computer Science
  • 6+ years hands-on ML experience
  • 3+ years leading ML teams
  • 1-2 years managing multiple teams or leaders
  • Proven track record scaling MLLMs to production

Work Rights

Not specified

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