Mercor
Machine Learning Engineer, Frontier Data Products
San Francisco$130k–$500kfulltimemidAdded 2 days ago
About this role
Mercor is seeking a Machine Learning Engineer to enhance its hiring engine through the development of advanced models for candidate-job matching, recommendations, and marketplace optimization. This role is pivotal in addressing challenges like sparse data and improving overall hiring outcomes in a fast-paced environment.
What you'll do
- Develop ranking and matching systems for candidates and job opportunities
- Create models for recommendation and personalization
- Design pipelines for retrieval, scoring, and decision-making at scale
- Implement feedback loops from hiring outcomes
- Optimize models for fill rate, quality, and conversion
- Establish evaluation frameworks linking model performance to business results
What they're looking for
- Experience deploying ML systems in production
- Background in ranking, recommendation, and search algorithms
- Strong judgment in model design and evaluation
- Full-stack applied ML proficiency
- Engineering fundamentals and system design simplicity
- Comfort with a variety of technologies including Python and Go
- Ability to handle noisy data and model trade-offs
- Expertise in marketplace-related problem-solving
Benefits
- Bi-annual performance bonuses
- Equity grant vested over 4 years
- Relocation assistance up to $15,000
- Monthly housing bonus if living nearby
- $1,500 meal stipend
- Free Equinox gym membership
- $200 monthly laundry reimbursement
- $200 monthly wellness reimbursement
- Health, dental, and vision insurance
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