Feeny
Mirendil

Member of Technical Staff, Model Evaluation at Mirendil (San Francisco, CA)

Mirendil· San Francisco, CA·

Role details

Work type
Onsite
Employment
Full-Time

Job description

Mirendil Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We are building a frontier AI research company and training our own models end-to-end.

The Role

We are looking for a research engineer to build the evaluation infrastructure that tells us whether our models are getting better in ways we care about. You'll own the frameworks, pipelines, and tooling that measure model behavior across capabilities. Some example areas you might work on (not limited to):

  • Design and build evaluation frameworks that measure model capabilities along realistic axes, beyond standard benchmarks.
  • Build automated eval pipelines and regression-detection systems that run continuously and surface signal quickly.
  • Develop agent-assisted workflows for humans to efficiently inspect model behavior.
  • Instrument training runs with observability tooling so researchers can understand what's changing in model behavior, and why.
  • Partner with post-training and RL teams to close the loop between eval signal and training decisions.

If you're excited about the hard problem of knowing whether a frontier AI system is actually improving, we'd love to hear from you.

We offer a base salary of $300,000–$400,000 USD and a meaningful equity grant, depending on experience and background, along with competitive benefits.

Why work at Mirendil

  • Engineering culture: “Small team, singular focus. We hire to compound, not to grow.” The team of ~20 operates with high autonomy and ownership.
  • Cutting-edge work: Opportunity to work on one of the most ambitious AI projects – automating the very process of AI research.
  • Team composition: Colleagues from Anthropic, xAI, DeepMind, OpenAI; founders known for foundational contributions (SAM optimizer, Blueshift/Mirerva).
  • Work environment: Based in San Francisco; likely in-office given the intensity of the work (remote/hybrid policy not publicly detailed).
  • Notable perks: Direct exposure to frontier model training and infrastructure; chance to shape a company from its earliest stage.

Application questions