Mercor
Research Engineer, Environments
About this role
Build high-fidelity reinforcement learning environments and evaluation systems for enterprise AI applications. You'll work with large organizations to capture their operational data and transform it into sandbox environments and training datasets for frontier AI models, automating the entire eval creation pipeline.
What you'll do
- Ship ML models for workflow extraction, classification, and performance grading
- Engineer autonomous task refinement pipelines that convert domain expertise into production systems
- Build end-to-end environments by cloning sandbox apps, loading real enterprise data, and creating verifiers
- Deliver and deploy evaluation datasets to customers in real-world engagements
- Systematize environment production to scale throughput while maintaining quality standards
- Collaborate with frontier AI labs and enterprises to push boundaries in world-building and eval infrastructure
What they're looking for
- Full-stack software engineering (infrastructure, backend, frontend)
- Reinforcement learning environment design and development
- Workflow extraction and task automation
- Data pipeline engineering and orchestration
- ML model training and deployment
- Synthetic data generation
- Systems thinking and scaling practices
- Agentic AI evaluation design
Benefits
- Semi-annual performance bonus
- Generous equity package vested over 4 years
- Up to $15k relocation bonus
- $10k housing bonus (if within 0.5 miles of office)
- $1.5k monthly meals stipend
- Health, dental, and vision insurance; Equinox membership; wellness reimbursements
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Mercor
Mercor builds a marketplace platform connecting expert talent to AI opportunities, supported by identity infrastructure, matching algorithms, and internal tools for data management. The company is hiring Software Engineers, Machine Learning Engineers, Fullstack Engineers, and Security Engineers to develop backend systems, ML models, cloud infrastructure, and distributed platforms.
- Website
- mercor.io
Likely interview questions
- Describe a time you shipped an environment or evaluation framework—what was the most challenging part of moving from concept to production?
- Walk us through your approach to designing a verifier that accurately measures whether an AI agent performed a complex enterprise task correctly.