Sr. Staff Machine Learning Engineer, Content Ecosystem
San Francisco, CA, US; Remote, US
R
USD 227K-469K Senior-level Full Time
Tasks
- Build models and insights for missing content
- Connect content attributes to outcomes
- Design content marketplace mechanisms
- Develop content ecosystem measurement framework
- Establish ML best practices for data quality model governance reliability privacy aware design operational excellence
- Identify and close content gaps
- Mentor junior ML engineers
- Optimize multi objective tradeoffs
- Produce technical proposals and drive decisions
- Quantify content health and performance
- Set ML technical strategy
- Translate ecosystem problems into technical roadmaps
Perks/Benefits
- N/A
Skills/Tech-stack
Causal Inference | Data Quality | Experimentation | Game theory | Language Models | Language Processing | Large Language Models | Machine Learning | Mechanism design | Model Governance | Model Interpretability | Multi-Armed Bandit | Natural Language | Natural Language Processing | Optimization | Privacy | Python | Reinforcement Learning | Reliability Engineering | SQL
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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