3 hours 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
H1B sponsorship
H1B sponsor history
Sponsorship for this role is unconfirmed.
Mercor’s past filings provide context. They do not guarantee sponsorship for a current opening.
Verified yearly history is not available for this company.
Job fields receiving H1B certifications
A job-field breakdown is not available for this company.
Source: US Department of Labor
About Mercor
We find the best experts in every professional domain and put their knowledge to work training frontier models. Through APEX, we measure whether those models can actually perform economically valuable work. We're also bringing that expertise to enterprises: deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems.