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NETFLIXAI & Machine Learning 6h ago

Senior ML Engineer, GenAI - Games

United StatesUnited States
Full-time
$466,000 - $750,000 / year

Job Description

About the Role: At Netflix, our mission is to entertain the world. We are looking for a Senior ML Engineer to bridge the gap between cutting-edge AI research and shipped game features. You will be a core technical contributor, responsible for implementing GenAI models into our production pipelines and game engines, bringing innovative ideas directly to players.

What You'll Do

  • Lead the technical integration of GenAI tools and techniques into existing game engines (Unity/Unreal/Proprietary) and development workflows.
  • Work directly with designers to prototype functional, AI-native gameplay mechanics like dynamic narrative systems and intelligent NPC behaviors.
  • Own the performance side of GenAI, optimizing model latency and memory footprints to ensure stable frame rates.
  • Develop and maintain AI tools for internal teams, such as automated texture generation or level design assistants.
  • Translate complex AI research papers and open-source models into stable, production-ready code.

What You Bring

  • 5+ years of experience in the games industry with a solid grasp of game loops, memory management, and Live Ops cycles.
  • 3+ years of hands-on experience with Machine Learning/GenAI tools and techniques in a product-driven environment.
  • Strong software engineering excellence in C++ and C#, with the ability to write clean, maintainable code.
  • Experience with model fine-tuning and managing the end-to-end ML lifecycle (data prep to deployment).

Benefits

  • Target compensation range: $466,000 - $750,000 per year (You choose how much of your compensation you want in salary versus stock options).
  • Comprehensive benefits including Health Plans, Mental Health support, and a 401(k) Retirement Plan with employer match.
  • Family-forming benefits, Disability Programs, and flexible time off for salaried employees.
  • Fully remote work flexibility within the USA.

Safety First

  • Never pay for a job application.
  • Do not share sensitive bank info.
  • Verify the client before starting work.