What the role involves
About Polymath
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:
Developing an advanced environment simulation engine for training & evaluating autonomous AI agents
Building scalable infrastructure to run thousands of simulation environments in parallel
Optimizing the performance of complex, stateful simulation environments
Tooling to collect data at scale, and improve environment and task creation processes
Publishing research
You’ll be a good fit if you:
Have strong engineering fundamentals and are a prolific user of AI tools
Have experience with infrastructure, containerization, and networking
Have experience with large scale distributed systems and data systems
Have an interest in reinforcement learning environments
Perks
- 🪷 Comprehensive health, dental, and vision insurance
- 🏦 401(k)
- 🌎 Unlimited PTO
- 🍽 Free meals with the team
- 🧘 Wellness stipend & learning stipend
- 💻 Top of the line tech
- 🌁 Frequent team activities and outings
Culture
- Polymath is a team of researchers, engineers, and operators focused on advancing the frontier of safe, superintelligent AI agents.
- We have a flat organizational structure. We believe that people do their best work when they’re self-motivated and driven by a desire to learn, contribute to the team’s goals, and advance scientific progress.
- We’re looking for folks who ship fast, set high standards for themselves, and are great team players. You’ll be a member of our founding team: have fun, learn a lot, and do high-impact work alongside great people.
About Polymath
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.
Full Polymath profile