Demo

Research Engineer

Refresh
San Francisco, CA Full Time
POSTED ON 4/9/2026
AVAILABLE BEFORE 5/8/2026
About The Role

This is a high-ownership role for someone who wants to work at the frontier of LLM evaluation, agentic systems, and startup building. You will help design and execute projects across coding data, computer-use environments, benchmark development, and research infrastructure.

You will work closely with the founders on both technical execution and company-building. That means this role is not limited to pure research or pure engineering; it sits at the intersection of research, product, operations, and GTM.

What You’ll Work On

  • Build and improve evaluation tasks, datasets, and environments for frontier models
  • Lead portions of our computer-use and coding-data projects end to end
  • Create tasks for coding, terminal, and computer-use benchmarks
  • Help develop new samples and benchmark ideas across new domains
  • Contribute to internal and open-source tooling for running agent evaluations
  • Help source novel codebases and datasets, including areas like Fortran, COBOL, and embedded C
  • Write technical blog posts or research-style writeups about benchmarks, datasets, and methods
  • Support hiring, recruiting, and interviewing as the team grows
  • Potentially contribute to papers, open-source benchmarks, and research collaborations as time permits

Example projects

  • Building realistic computer & terminal-use environments with strong verifiers
  • Designing coding and agent-eval datasets that surface capability gaps in frontier models
  • Creating benchmarks we can publish publicly as part of Refresh’s research presence

What We’re Looking For

  • Strong engineering ability and high agency
  • Interest in frontier LLMs, agent systems, evals, and research infrastructure
  • Comfort working across ambiguity and taking ownership of poorly defined problems
  • Strong writing and communication skills
  • Ability to move between research, engineering, and operational work as needed
  • Excitement about working closely with founders in an early-stage startup environment

Nice to have

  • Experience with LLM evals, benchmarks, or training data
  • Experience building agents, developer tools, or research infrastructure
  • Familiarity with modern startup engineering stacks
  • Interest in open-source research tooling and benchmark design
  • Interest in publishing technical writing or papers

What You’ll Learn

  • How frontier model evals and data pipelines are built in practice
  • Early-stage startup operations, scaling, and execution
  • The modern startup stack across infrastructure, product, and deployment
  • LLM training fundamentals, research workflows, and data operations
  • How to build systems end to end
  • How to lead projects and help grow a team

Salary : $100,000 - $150,000

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