Mercor · AI infrastructure

Research Engineer, Real Environments

  • San Francisco (On‑site)
  • Full-time
  • $160,000 - $500,000 / year

Still open on Mercor's site · checked just now

Posted
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  • Mercor offers relocation support for this job

In the job ad:

“Up to $15k Relocation bonus”
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What you'll do

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About the Role

You’ll work with large enterprises to capture their data and transform it into high-fidelity RL environments for capability evaluations and training datasets for frontier labs. We focus on pushing the frontier of world-building, verifier engineering, and more alongside our partners.

Your goal will be to automate the process of building evals for real work in the economy.

  • Ship models for workflow extraction, classification, and grading.

  • Engineer autonomous task refinement processes which distill data taste into pipelines.

  • Deliver data to customers and deploy into real engagements.

  • Help define the future of agentic transformation for enterprises around the world.

  • Deeply learn about the intricacies of enterprises through building evaluations for all aspects of work.

  • Build end-to-end environments for labs & enterprises by platformizing sandbox app clones, load real data into the sandboxes, build prompts from real workflows, and write verifiers leveraging enterprise expertise & golden outputs.

  • Systematize the production of environments to scale throughput while maintaining high-quality worlds and verifiers.

Requirements

What We're Looking For

  • Prior experience shipping environments – you’ve contributed to an OSS framework, built environments at previous companies, or worked on agentic evaluations.

  • Strong full-stack engineering skills – you’ll be responsible for everything from infrastructure to app code to analytics

  • Bias to action – this team is focused on shipping evals, not just philosophizing about them.

  • Curiosity – being biased towards understanding and digging deep into model behavior and actually looking at the data.

  • Sweat the details that make a simulation indistinguishable from the real thing and have systems-level thinking skills that allow you to scale up quality.

Nice to Have

  • Experience with Temporal, Modal, or similar orchestration/compute services

  • Experience with synthetic data generation for frontier models.Past work auditing and scrutinizing industry-standard evaluations

Skills

Working languages

English

Salary & benefits

Benefits

  • Semi-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

Company

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