Ml Engineer L5 - Ads Platform Engineering (forecasting)

Netflix

Remote
Base: $100,000 - $720,000; bonus/equity: stock opt...
Productionize forecasting models
Real-time advertising environments
Scalable simulation solutions
Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages

Job Summary

  • Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.
  • The Ads Platform Engineering teams build advertising systems and integrations that power the delivery of ads using Netflix’s world-class content delivery ecosystem while ensuring a thoughtful member viewing experience and advertiser brand safety.
  • Netflix provides comprehensive benefits including health plans, mental health support, a 401(k) retirement plan with employer match, stock option program, and flexible paid time off policies.

Matching Summary

Netflix is one of the world's leading entertainment services with over 260 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages.

Salary

Base: $100,000 - $720,000; Bonus/Equity: Stock options available instead of bonuses; Benefits: Comprehensive health, retirement, and paid leave benefits

Skills & Requirements

Must-have

  • Productionize forecasting models
  • Real-time advertising environments
  • Scalable simulation solutions
  • Budgeting and pacing algorithms
  • Cross-functional collaboration

Nice-to-have

  • Publisher-side ad tech systems knowledge
  • Yield optimization and bid ranking models
  • Experience with CTV advertising constraints
  • Familiarity with ad regulations
  • Contributed to ads industry standards

Key Requirements

  • Experience productionizing ML models
  • Knowledge of forecasting ad inventory and campaign effectiveness
  • Experience with low-latency real-time systems
  • Collaboration with science, product, and engineering teams
  • Not specified work authorization

Work Rights

Not specified

Tailored Resume

Cover Letter