Machine Learning Engineer (L5 - Senior), Ads Inventory Management & Forecasting
Description For Machine Learning Engineer (L5 - Senior), Ads Inventory Management & Forecasting
Netflix, a global entertainment leader with 283 million subscribers, is seeking a Senior Machine Learning Engineer for their Ads Inventory Management & Forecasting team. This role is part of the company's strategic initiative following the launch of their ad-supported tier in November 2022. The position focuses on building state-of-the-art realtime inventory forecasting solutions using ML models and high-performance ad server simulations.
The role combines cutting-edge machine learning with advertising technology, working within Netflix's world-class content delivery ecosystem. You'll be part of a new team tasked with building highly performant advertising systems that help Netflix become a market leader in the Connected TV advertising space.
Key responsibilities include developing end-to-end ML model deployment systems, handling large-scale data processing, and building scalable simulation solutions. You'll work on critical systems that enable publisher inventory management, dynamic pricing, and yield optimization.
The ideal candidate will have strong experience in ML model deployment, big data tools like Spark, and advertising systems. You'll collaborate with cross-functional teams and have the opportunity to shape the future of Netflix's advertising technology infrastructure.
Netflix offers a competitive compensation package ranging from $100,000 to $720,000, with the flexibility to choose between salary and stock options. The company provides comprehensive benefits including health plans, mental health support, and flexible time off policies. This remote position offers the opportunity to work with one of the most innovative companies in the entertainment industry.
Responsibilities For Machine Learning Engineer (L5 - Senior), Ads Inventory Management & Forecasting
- Build state-of-art realtime inventory forecasting solution
- Develop ML models and high performance ad server simulations
- Build systems for publisher inventory management solutions
- Support various monetization strategies including dynamic pricing
- Work on rate card management, product packaging, and inventory split
- Implement yield optimization solutions
Requirements For Machine Learning Engineer (L5 - Senior), Ads Inventory Management & Forecasting
- 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 for advertising campaigns
- Experience building Scalable Simulation solutions
- 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
- 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 for paid time off (hourly employees)
- Flexible time off (salaried employees)
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