Software Engineer, Machine Learning
San Francisco • FullTime
Posted 2mo ago
Job Location
San Francisco
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
Machine Learning Engineer
About the job
As a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network. This is an applied ML role with direct product and revenue impact, working on problems shaped by real marketplace constraints such as sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.
Responsibilities
- Build ranking and matching systems to surface candidates and opportunities.
- Develop models for recommendation, personalization, and marketplace optimization.
- Create retrieval, scoring, and decision pipelines operating at global scale.
- Implement feedback loops that learn from downstream hiring outcomes.
- Design and build real-time and batch inference systems embedded in product-critical workflows.
- Improve candidate-job matching using embeddings, structured attributes, and behavioral signals.
- Optimize ranking toward long-term hiring outcomes under delayed and incomplete labels.
- Design models that balance marketplace objectives like fill rate, quality, speed, and conversion.
- Build systems for candidate allocation, opportunity routing, and liquidity optimization.
- Develop evaluation and experimentation frameworks connecting model performance to business results.
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 the full applied ML stack: data, features, training, inference, and iteration.
- Strong engineering fundamentals and a bias toward simple, robust systems.
Benefits
- 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 our office)
- $1.5K monthly stipend for meals
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance