Polymath

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 the team. About the role We’re looking for talented researchers currently enrolled in MS / PhD programs to collaborate on a research project focused around frontier benchmarks and environments for long-horizon AI agents. This will require 1) identifying failure modes in frontier models, 2) developing rigorous benchmarks that evaluate how well frontier agents perform on complex, realistic tasks requiring long-horizon reasoning and tool use in dynamic environments, and 3) training autonomous agents that can reason, plan, and act over extended time horizons. We can accommodate full-time or part-time engagements. Compensation will be $200k / year prorated to the number of hours committed. The goal of the residency is to culminate in a publication, and if there is a mutual fit, transition into a full-time role. If you’re interested in joining Polymath but are not currently a student, please apply to the Member of Technical Staff role. You’ll be a good fit if you: Are currently pursuing an MS or PhD program in Computer Science or a related field Have experience with reinforcement learning, benchmarking frontier models, or model post-training Have experience with systems engineering and can write production-quality code Have a strong track record of publications Have high agency, move quickly, and enjoy working on open-ended research problems 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.

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 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 - Research to help advance the frontier of autonomous agents. You’ll work on core research problems in long-horizon evaluation, agent post-training, and environment design, with a focus on understanding where current models fail and how to improve them. As a member of the founding team, you should expect to wear multiple hats: building benchmarks, shaping environments, writing production code, and running rigorous experiments. We’re looking for people who are excited by hard open-ended problems and want to operate at the intersection of research and engineering. Examples of projects you could work on include: Developing an advanced environment simulation engine for training & evaluating autonomous AI agents Investigating failure modes of frontier models Creating rigorous benchmarks that evaluate how well frontier agents perform on complex, realistic tasks requiring long-horizon reasoning and tool use in dynamic environments Post-training agents in complex simulation environments Publishing research You’ll be a good fit if you: Have strong engineering & research fundamentals and are a prolific user of AI tools Have experience post-training frontier models Have experience shipping reliable, production-quality code Have a track record of publications 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.