Staff Engineer, ML Environments & Post-Training

Posted yesterday

hillclimbMillbrae (CA)

SENIORITY

Mid

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About the role

Hillclimb is a research-focused startup aiming to improve agent capabilities toward recursive self-improvement. Our team designs environments and evals that push frontier models to ideate, experiment, and produce meaningful research progress. We value expertise in LLMs, RL, RLHF/RLAIF, and automated evaluation systems to ensure trustworthy rewards. This role emphasizes building scalable pipelines and validating environments before training, with a collaborative frontier/data lab setting.

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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