about 4 hours ago
Base Salary
$130k - $500k/yr
Responsibilities
- Build ranking and matching systems for candidates and opportunities.
- Develop models for recommendation and marketplace optimization.
- Create retrieval, scoring, and decision pipelines at global scale.
- Implement feedback loops that learn from hiring outcomes.
- Design real-time and batch inference systems for product workflows.
Requirements
- Proven experience in deploying ML systems into production.
- Familiarity with ranking, recommendation, and marketplace challenges.
- Strong judgment in model design and evaluation.
- Ability to work across the full applied ML stack.
- Solid engineering fundamentals with a focus on robust systems.
Benefits
- Bi-annual performance bonus structure.
- Generous equity grant vested over 4 years.
- Up to $15k relocation bonus.
- $10K housing bonus for proximity to office.
- $1.5K monthly stipend for meals.
- Free Equinox membership.
- $200 monthly laundry reimbursement.
- $200 monthly personal wellness reimbursement.
- Health, dental, and vision insurance.
Tech Stack
Categories
AI & MLData Science