Employer profile
Polymath
5 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
-
Member of Technical Staff - Engineering
San Francisco | OnSite
onsite Salary not disclosedMember of Technical Staff - Engineering San Francisco | OnSite 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 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,
-
AI Research Resident
San Francisco | Remote
remote Salary not disclosedAI Research Resident San Francisco | Remote 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. 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
-
Strategic Projects Lead
San Francisco | OnSite
onsite Salary not disclosedStrategic Projects Lead San Francisco | OnSite 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 round, and are actively growing out the founding team. About the role As a Strategic Projects Lead, you will work on some of Polymath's highest-leverage initiatives across partnerships, data, and new market expansion. This is a highly cross-functional role for someone who is excited to tackle open-ended problems, move quickly, and help shape the company's trajectory. You'll work closely with the founders on strategic efforts that are critical to Polymath's growth. Examples of projects you would work on: - Recruit and manage a large network of domain experts across law, finance, medicine, consulting, and software engineering - Navigate data sales and negotiate enterprise data contracts - Identify strategic areas for expansion You'll be a good fit if you: - Have prior experience with frontier lab data sales - Have high agency and ownership - Enjoy working across different domains - Have strong writing abilities - Are technical Perks: - 🪷 Comprehensive health, dental, and vision insurance - 🍽 Free meals with the team - 🧘 Free Bay Club membership (right next door to our Embarcadero office!) -
-
Software Engineer
San Francisco | Remote
remote Salary not disclosedSoftware Engineer San Francisco | Remote 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 actively growing out the team. About the role We're hiring Software Engineers to build the simulation environments, tasks, and verifiers that challenge frontier models. You'll help create the training and evaluation grounds that make it possible to measure and improve autonomous agents on realistic, challenging work. This is a contract-based role with the opportunity to transition into a full-time position. Examples of projects you could work on include: - Building diverse, high-fidelity environments that test agents in realistic settings - Designing complex tasks that require long-horizon reasoning and tool use - Developing robust verifiers that reliably measure agent performance - Improving infrastructure and tooling to run, debug, and improve environments - Working closely with the research team to identify failure modes and turn them into new tasks and benchmarks You'll be a good fit if you: - Have strong engineering fundamentals - Enjoy building from first principles and solving open-ended technical problems - Have high agency and a strong bias toward shipping - Have a high quality bar and care about building robust systems Culture: -
-
Member of Technical Staff - Research
San Francisco | OnSite
onsite Salary not disclosedMember of Technical Staff - Research San Francisco | OnSite 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, creating 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