3 days ago
San Mateo, CA, USASenior
Responsibilities
- Build and ship machine-learning systems for ad and content quality, relevance, ranking, matching, and brand safety.
- Own end-to-end advertising measurement, including attribution, incrementality, experimentation, A/B tests, geographic tests, holdouts, and causal methods.
- Build data and evaluation foundations that ensure reported measurement is reliable.
- Select and apply classical ML, LLM tooling, and causal inference pragmatically.
- Operate and ship production ML systems at consumer scale, including model on-call responsibilities.
Requirements
- Production experience shipping ML for consumer products or advertising systems used by millions of people.
- Experience building measurement or experimentation systems involving attribution, incrementality, causal lift, and experiment design.
- Experience operating production models and understanding reliability and scalability at real-world scale.
- Ability to build systems from zero in a small-team or startup environment while applying large-scale engineering judgment.
- Hands-on experience using modern AI tooling and coding agents in daily development.
Benefits
- Medical insurance through Blue Cross Blue Shield, dental, vision, and company-paid life insurance.
- Company contributions to Health Savings Accounts and a 401k plan with Safe Harbor matching.
- Flexible vacation policy and paid company holidays.
- Company-provided technology package.
- Relocation assistance where applicable, including travel and company-provided housing for the first 90 days.
- Primary work location is the San Francisco/Peninsula Bay Area, with New York City as a secondary location.
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