Machine Learning Engineering Intern, Evals/Post-training

Palo Alto, CA, Palo Alto, CA

Job Description

This job posting has expired and no longer accepting applications.

Winter 2026 (January - April) Internship - full-time

Machine Learning Engineering Intern, Evals/Post-training

Hybrid (Palo Alto, CA)

Mission: We’re a small, fast team behind OpenBench (open, reproducible LLM evals). We turn model behavior into measurable progress, then upstream it. You’ll work alongside people, not for people: low ceremony, quick feedback, lots of ownership. You won’t be siloed; you’ll jump across evals, post-training, infra, and (when useful) product/GTM.

Responsibilities & opportunities in this role:

Build and reimplement evals (accuracy, robustness, safety, latency) end-to-end.
Run tight SFT/DPO/RLHF-style loops; track deltas and ship models for customers.
Red-team models; turn quirks into metrics and provide feedback to the inference team
Own scoped projects: design → implement → document → upstream.
Write research papers on evals you build.
Pitch improvements across the company when you see them, then ship.

Ideal candidates have/are:

Founding Engineer (grinder)
- You unblock yourself, learn fast, and ship relentlessly - scrappy first, then clean and reproducible.
- Signals: productionized side projects, CI’d repos, tools other people actually use.
Researcher (loves data and pushing the frontier)
- You reason clearly about eval design, failure modes, and data quality; you run ablations and write tight analyses.
- Signals: careful experiments, thoughtful write-ups, PRs to open-source projects.
Must-haves
- Agentic, kind, gritty.
- Hands-on with evals, post-training, or applied AI (not just theory).
- Comfort getting a bit hacky while keeping results reproducible.

Why Join Us

Purposeful Hiring: You’re not here by accident, and neither is anyone else. Every teammate is handpicked with intention because who we build with matters.
Builders Wanted: You’re not just riding the rocket ship, you’re building it. Your work directly shapes the trajectory of our company.
Mission-Driven Work: We’re here to make a real impact. Our mission fuels everything we do.
Tackling Hard Problems: If easy isn’t your thing, you’re in the right place. We solve some of the most complex and exciting challenges in our space.
Excellence Is The Standard: High performance isn’t just encouraged, it’s the baseline. And it’s contagious.

If this sounds like you, we’d love to hear from you!

Compensation: The US pay range for our technical internships is $30-$50 / per hour. The pay range for our non-technical internships is $30-$40 / per hour. Compensation is determined by your location, skills, qualifications, experience and internal benchmarks. This range is specific to roles in the United States, compensation for candidates outside the USA will be dependent on the local market. #LI-DNI

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