Mid-Level Research Engineer, Benchmarks
About the Role
Join a small, technical team at an early-stage AI evaluation infrastructure startup building benchmarks for frontier AI agents. You will own the design and implementation of rigorous evaluations for realistic, domain-specific workflows, helping technical teams understand how agent performance translates to practical settings.
What You'll Do
Design, implement, and maintain benchmarks for evaluating frontier AI agents on domain-specific tasks.
Collaborate with subject-matter experts to turn real workflows into realistic benchmark tasks and evaluation criteria.
Build reliable infrastructure to run models and agents against evaluation tasks at scale.
Develop metrics and analyses to assess benchmark difficulty, reliability, and failure modes.
Validate how benchmark results relate to real-world evaluations and technical user needs.
Write clear technical documentation and reports that communicate findings to research and engineering audiences.
What We're Looking For
Two or more years of experience in research engineering or machine learning engineering, with a focus on AI benchmarks, e
