28 days ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$130k - $500k/yr
Responsibilities
- Build ranking and matching systems for candidates and job opportunities.
- Develop models for recommendation, personalization, and marketplace optimization.
- Create retrieval, scoring, and decision pipelines at a global scale.
- Implement feedback loops that learn from hiring outcomes.
- Design real-time and batch inference systems for product-critical workflows.
Requirements
- Proven experience in deploying ML systems into production.
- Familiarity with ranking, recommendation, search, and marketplace challenges.
- Strong judgment in model design and evaluation.
- Comfort with the full applied ML stack including data and inference.
- Solid engineering fundamentals with a focus on simplicity and robustness.
Benefits
- Generous equity grant vested over 4 years.
- $20K relocation bonus for moving to the Bay Area.
- $10K housing bonus for living within 0.5 miles of the office.
- $1.5K monthly stipend for meals.
- Free Equinox membership.
- Health insurance.