Sr. Staff Machine Learning Engineer, Agentic Ads
San Francisco, CA, US; Remote, US
R
USD 227K-469K Senior-level Full Time
Tasks
- Apply AI to accelerate analysis iteration and verification
- Build and refine agentic training and evaluation pipelines
- Build and refine training evaluation and feedback pipelines
- Design build and launch production ranking models and signals
- Drive technical design reviews and architectural decisions across ads ML stack
- Ensure model reliability safety fairness and compliance
- Lead technical strategy for ads ranking and bidding models
- Mentor machine learning engineers and scientists in advanced modeling and tooling
- Own ads ranking model automation and agentic development loops
- Translate business objectives into modeling roadmaps and success metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Behavior Modeling | Boosted Trees | C++ | Data Pipelines | Data Quality | Deep learning | Evaluation Pipelines | Experimentation and analysis | Experimentation platforms | Fairness | Feedback loops | Gradient Boosted Trees | Machine Learning | Model Evaluation | Offline evaluation | Online Behavior Modeling | Online Learning | Privacy Compliance | Python | Ranking algorithms | Recommendation Systems | Safety Compliance | Training pipelines
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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