Software Engineer, Machine Learning
Mercor · San Francisco
CHECKED 22H AGO
Applied AIonsite$160k–$500k
At a glance
Highlights
- Build ranking and matching systems powering Mercor's global hiring engine.
- Optimize marketplace decisions for fill rate, quality, speed and conversion.
- Learn from downstream hiring outcomes to improve recommendations at scale.
What they offer
- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k relocation bonus
- $10K housing bonus if you live within 0.5 miles of office
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Ideal candidate
Applied ML builder who loves marketplace dynamics and owning models end-to-end from data to production. Pragmatic, product-minded and motivated by turning hiring outcomes into measurable business impact.
Requirements
- Strong track record of shipping ML systems into production
- Experience with ranking, recommendation, search, matching, or marketplace problems
- Good judgment on model design, objective functions, evaluation, and tradeoffs
- Comfort working across full applied ML stack from data to inference and iteration
- Strong engineering fundamentals with bias toward simple, robust systems
- remote policy
- In-person 5 days a week
Lab profile
About Mercor
AI data company organizing human expertise to train frontier models for the AI economy.
What they build
- APEX benchmark family
- Mercor Enterprise
- Human expertise training data platform
Known for
- Massive domain-expert network
- Frontier model training infrastructure
- Real-world professional work evaluation
Key facts
- Millions of domain experts on platform
- Pays over $4M per day to experts