Mercor

Research Engineer, Real Environments

Mercor
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23 hours ago

Base Salary

$160k - $500k/yr

Responsibilities

  • Ship models for workflow extraction, classification, and grading.
  • Engineer autonomous task-refinement processes that turn data expertise into pipelines.
  • Deliver data to customers and deploy systems in real engagements.
  • Build end-to-end environments using sandbox application clones, real enterprise data, workflow-derived prompts, and verifiers based on expert knowledge and golden outputs.
  • Systematize environment production to increase throughput while maintaining high-quality worlds and verifiers.
  • Learn enterprise workflows and help define agentic transformation for businesses.

Requirements

  • Prior experience shipping environments through open-source frameworks, previous-company work, or agentic evaluations.
  • Strong full-stack engineering skills across infrastructure, application code, and analytics.
  • Bias toward shipping evaluations and investigating model behavior through data.
  • Strong attention to simulation detail and systems-level thinking for scaling quality.

Benefits

  • Semi-annual performance bonus structure.
  • Generous equity grant vesting over four years.
  • Up to $15,000 relocation bonus.
  • $10,000 housing bonus for employees living within 0.5 miles of the office.
  • $1,500 monthly meal stipend.
  • Free Equinox membership.
  • $200 monthly laundry reimbursement.
  • $200 monthly personal wellness reimbursement.
  • Health, dental, and vision insurance.
  • In-person work five days per week in San Francisco, New York, or London.
Mercor

About Mercor

5,001-10,000 employees

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.

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