End-to-end ml model deployment for low-latency systems
The team builds state-of-the-art real-time inventory forecasting solutions leveraging ML models and high-performance ad server simulations
Job Summary
The team builds state-of-the-art real-time inventory forecasting solutions leveraging ML models and high-performance ad server simulations.
Engineers are responsible for developing complex ML models for low-latency environments that balance revenue goals and advertiser outcomes.
Netflix offers a unique compensation structure where employees choose their mix of salary versus stock options annually.
Matching Summary
The team builds state-of-the-art real-time inventory forecasting solutions leveraging ML models and high-performance ad server simulations.
Salary
Base: $466,000.00 - $750,000.00; Bonus/Equity: Not specified (Stock options available); Benefits: Comprehensive health plans, 401(k) match, flexible time off
Skills & Requirements
Must-have
Proficiency in Java C++ Python or Scala
Multi-threading and memory management experience
End-to-end ML model deployment for low-latency systems
Big data tools like Spark for large volumes
Yield optimization and bid ranking modeling
Experience with CPC CPV and CPCV metrics
Nice-to-have
Productionizing ML models at scale
Contributions to VAST or OpenRTB standards
Familiarity with publisher-side ad tech systems
Lucene index building experience
Knowledge of legal compliance in ads
Experience working in the CTV space
Key Requirements
Solid understanding of multi-threading and memory management
Experience handling data at extremely large volumes
Background in productionized predictive models for advertising campaigns