7 months ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$130k - $500k/yr
Responsibilities
- Research, train, and productionize ML models for engagement prediction and scoring.
- Build backend infrastructure and APIs to serve ML models reliably at scale.
- Run experiments, analyze results, and iterate quickly to improve models and product performance.
- Collaborate cross-functionally with Operations and Product to translate business needs into model-driven solutions.
- Adapt to various roles from backend engineer to applied ML practitioner.
Requirements
- Strong backend engineering skills, preferably in Python/Django or similar.
- Solid foundation in applied machine learning and statistics.
- Proven experience shipping production systems or ML-driven products end-to-end.
- High ownership and comfort operating in ambiguous, fast-changing environments.
- Generalist mindset willing to flex between backend, modeling, data pipelines, and product problem-solving.
Benefits
- Generous equity grant vested over 4 years.
- $20K relocation bonus if moving to the Bay Area.
- $10K housing bonus if living within 0.5 miles of the office.
- $1.5K monthly stipend for meals.
- Free Equinox membership.
- Health insurance.