Engineering Manager, Core Applications - AI for Member Systems

Netflix

USA - Remote
Base: $523,000.00 - $920,000.00; bonus/equity: not...
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Leading applied ml or ml engineering teams
Experience with large-scale personalization systems
Designing apis and reusable ml components
** Netflix is seeking an Engineering Manager for its Core Applications team within the AI for Member Systems organization. The role involves leading a team focused on building foundational AI capabilities for personalization and recommendations, requiring strong leadership in applied machine learning and engineering. **

Job Summary

  • The role involves leading a senior applied science and ML engineering team to build foundational personalization capabilities used across multiple product surfaces.
  • Netflix offers a unique compensation structure where employees choose how much of their total compensation is in salary versus stock options annually.
  • Full-time salaried employees are immediately entitled to flexible time off rather than accruing days for vacation and sick leave.

Matching Summary

Match Score: 75

** Netflix is seeking an Engineering Manager for its Core Applications team within the AI for Member Systems organization. The role involves leading a team focused on building foundational AI capabilities for personalization and recommendations, requiring strong leadership in applied machine learning and engineering. **

Salary

Base: $523,000.00 - $920,000.00; Bonus/Equity: Not specified (salary vs stock option choice); Benefits: Comprehensive health plans, 401(k) match, stock options, paid leave

Skills & Requirements

Must-have

  • Leading applied ML or ML engineering teams
  • Experience with large-scale personalization systems
  • Designing APIs and reusable ML components
  • Multi-objective optimization and reward modeling
  • LLM post-training and alignment utilities

Nice-to-have

  • Familiarity with modern GenAI applications
  • Bridge between platform and product teams
  • High-autonomy fast-moving environment experience
  • Diverse high-caliber team building skills

Key Requirements

  • 8+ years in applied ML/science or ML engineering
  • 3+ years in technical leadership or people management
  • Proven track record in horizontal platform ML efforts

Work Rights

Not specified

Tailored Resume

Cover Letter