Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games.
$100,000 - $720,000
Machine Learning
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Consumer

Description For Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

Netflix, a global entertainment powerhouse with 283 million subscribers, is seeking a Senior Machine Learning Engineer to join their Ads Inventory Management & Forecasting team. This role is part of Netflix's ambitious initiative in the Connected TV advertising space, following their launch of an ad-supported tier in 2022. The position offers an exciting opportunity to build state-of-the-art realtime inventory forecasting solutions and advertising systems that will shape the future of streaming advertising.

The role combines advanced machine learning expertise with advertising technology, focusing on building scalable solutions for inventory management and forecasting. You'll work with cutting-edge technologies and be responsible for developing ML models for ad effectiveness prediction, creating high-performance simulations, and implementing sophisticated monetization strategies.

As part of the Ads Platform Engineering teams, you'll contribute to Netflix's unique advertising ecosystem, which includes both client and server-side ad insertions, advanced content delivery systems, and sophisticated metadata management. The position offers competitive compensation ($100,000 - $720,000), comprehensive benefits, and the opportunity to work remotely.

This is an ideal role for experienced ML engineers who are passionate about advertising technology and want to make a significant impact in a rapidly growing space. You'll be working in a collaborative environment, partnering with cross-functional teams to drive innovation in advertising technology while maintaining Netflix's high standards for user experience and advertiser satisfaction.

Last updated 23 days ago

Responsibilities For Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

  • Build state-of-art realtime inventory forecasting solutions using ML models
  • Develop high performance ad server simulations
  • Build systems for publisher inventory management solutions
  • Support various monetization strategies including dynamic pricing and yield optimization
  • Work on inventory split and rate card management

Requirements For Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

Python
  • Experience in building end-to-end ML model deployment and inference infra for low-latency real-time ad systems
  • Experience in handling data at extremely large volumes with big data tools like Spark
  • Experience with productionized predictive models to forecast advertising campaign effectiveness
  • Experience building Scalable Simulation solutions for inventory scenarios
  • Familiar with ads budgeting and pacing systems, models, and algorithms
  • Understanding of advertising marketplace and publisher side challenges
  • Ability to collaborate with cross-functional stakeholders

Benefits For Machine Learning Engineer (L5 - Senior) , Ads Inventory Management & Forecasting

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
  • Paid leave of absence programs
  • 35 days annually for paid time off (hourly employees)
  • Flexible time off (salaried employees)

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