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Polymath is an applied research lab focused on advancing long-horizon agent capabilities through reinforcement learning. We design and scale simulation environments where agents learn to operate safely and autonomously. We work with the world’s leading model labs to push the frontier of agent capabilities. Polymath is backed by Base10, Founders Future, Y Combinator, and other incredible investors & angels. We've raised an $8M seed, and are growing out our founding team.
About the role
We’re hiring a Member of Technical Staff - Engineering to build the infrastructure and systems that power our environment simulation products. You’ll work on the technical foundation that makes it possible to train and evaluate autonomous agents in complex, realistic environments. You’ll be a member of the founding team and should expect to wear multiple hats. While this role is engineering-leaning, we’re looking for people who are energized by hard technical problems and excited to operate at the intersection between engineering and research. Examples of projects you could work on include:
You’ll be a good fit if you:
Perks:
Culture:
We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience.
We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-training frontier models in industry, and building large scale data systems. Polymath is backed by Y Combinator.
Salary
$150,000 - $300,000
Location
San Francisco, CA, US