- San Francisco, California, United States
- Hybrid
- $217K–$303K per year
- 2+ years
Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization.
Compensation
The base pay range for this position is: $216,700.00 - $303,400.00 USD
Responsibilities
- Design, build, and deploy industrial-level machine learning models
- Take full ownership of the ML lifecycle
- Perform systematic feature engineering
- Build robust monitoring, alerting, and automated retraining pipelines
- Research new algorithms and stay up-to-date with state-of-the-art ML techniques
Requirements
- Master’s degree in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline
- Nice to have: PII Data handling
- Nice to have: Kafka Infrastructure
- Nice to have: Data governance
- Nice to have: Batch data pipeline