2 months ago
Base Salary
$130k - $500k/yr
Responsibilities
- Partner with frontier AI labs to understand data, post-training, and evaluation needs.
- Build and operate scalable data pipelines for post-training workflows and model evaluations.
- Design systems for synthetic data generation and data quality.
- Prototype new data types, benchmarks, and evaluation frameworks.
- Own projects end-to-end from requirements gathering through reliable, scalable production deployment.
- Work directly with customers, gather requirements, develop technical solutions, and lead technical discussions.
Requirements
- Strong backend engineering fundamentals in a modern language such as Python, Go, or Rust.
- Experience with model training and inference.
- Strong grounding in statistical analysis and experimental design for measuring model performance and improvements.
- Familiarity with evaluation methods for large language models.
- Ability to work through ambiguity, ship iteratively, balance speed with engineering rigor, and communicate with technical and non-technical users.
- Comfort with ownership, entrepreneurial problem solving, and customer-facing technical work.
Benefits
- Bi-annual performance bonus structure and equity grant vested over four years.
- Up to $15k relocation bonus.
- $10K proximity bonus for living within 0.5 miles of the office.
- $1.5K monthly meal stipend.
- Free Equinox membership.
- $200 monthly laundry reimbursement and $200 monthly personal wellness reimbursement.
- Health, dental, and vision insurance.
- In-person work five days a week in San Francisco, New York City, or London offices.
Categories
Data EngineeringML Engineering
About Mercor
Mercor builds an expert-powered platform that trains, evaluates, and deploys AI systems for AI labs and enterprises. It operates APEX to assess model performance on economically valuable tasks, and provides services such as custom AI agents and teams of vetted domain experts who encode organizational knowledge into AI. Founded in 2023 and headquartered in San Francisco, it is privately held and works with frontier AI labs and enterprise clients requiring strict data isolation.