Engineering Manager, for Foundation Models Development

Netflix is one of the world's leading entertainment services with 283 million paid memberships in over 190 countries.
$190,000 - $920,000
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Consumer
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Description For Engineering Manager, for Foundation Models Development

Netflix, a global entertainment powerhouse with 283 million paid memberships across 190+ countries, is seeking an Engineering Manager for Foundation Models Development. This role sits at the intersection of cutting-edge AI research and practical application, focusing on developing large language models (LLMs) and other generative models to enhance Search and Recommendation experiences.

The position offers an exciting opportunity to lead a team of world-class machine learning researchers and engineers, developing foundational models that will power multiple applications including Search, Recommendations, Personalization, and Messaging. The role requires a unique blend of technical expertise and leadership skills, with responsibilities ranging from cultivating strategic vision to guiding projects from research through production.

The ideal candidate will bring 10+ years of experience, including 5+ years in machine learning management, along with deep expertise in Deep Learning and NLP. They should possess an advanced degree (MS or PhD) in Computer Science or related fields, demonstrating both technical depth and the ability to lead high-performing research teams.

Netflix offers a competitive compensation package ranging from $190,000 to $920,000, with the flexibility to choose between salary and stock options. The company provides comprehensive benefits including health plans, mental health support, 401(k) with employer match, and generous time-off policies. The role is based in Los Angeles, offering the opportunity to work with one of the most innovative companies in the entertainment industry.

This position represents a unique opportunity to shape the future of personalization and discovery at Netflix, working with state-of-the-art technology while leading a team of talented researchers and engineers. The role combines the excitement of academic-level research with the impact of production-scale deployment, making it ideal for someone who wants to push the boundaries of AI while delivering real-world value.

Last updated 25 days ago

Responsibilities For Engineering Manager, for Foundation Models Development

  • Lead a group of talented machine-learning researchers
  • Develop foundational models for multiple downstream applications
  • Build and lead a team of world-class engineers and researchers
  • Cultivate vision and strategy for the team
  • Guide innovation projects from research ideas to production A/B tests
  • Partner with multi-disciplinary, cross-functional teams and stakeholders
  • Mentor and grow team members
  • Build effective research roadmaps with ambitious goals

Requirements For Engineering Manager, for Foundation Models Development

  • MS or PhD in Computer Science, Statistics, or a related field
  • 10+ years of total experience including 5+ years of machine learning management
  • Experience leading a team of machine learning engineers and researchers
  • Strong understanding of software engineering and large-scale distributed systems
  • Broad knowledge of machine learning with a strong mathematical foundation
  • Expertise in Deep Learning and NLP
  • Experience working on large-scale, consumer-facing machine-learning applications
  • Great interpersonal skills

Benefits For Engineering Manager, for Foundation Models Development

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
Equity
  • Health Plans
  • Mental Health support
  • 401(k) Retirement Plan with employer match
  • Stock Option Program
  • Disability Programs
  • Health Savings and Flexible Spending Accounts
  • Family-forming benefits
  • Life and Serious Injury Benefits
  • 35 days annually paid time off (for hourly employees)
  • Flexible time off (for salaried employees)

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