Member of Technical Staff - Engineering

Polymath

San Francisco (CA)

On-site

USD 100,000 - 150,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

Polymath in San Francisco is seeking a Member of Technical Staff – Engineering to build infrastructure for autonomous agent simulations. The ideal candidate will develop advanced simulation engines, optimize performance, and improve task creation processes. Applicants should have solid engineering fundamentals, experience with distributed systems, and an interest in reinforcement learning. This role offers comprehensive health benefits, 401(k), unlimited PTO, and a technology-focused work environment with opportunities for research publishing.

Qualifications

  • Experience with AI tools is essential.
  • Strong background in engineering is preferred.
  • Experience in networking is a plus.

Responsibilities

  • Developing an advanced environment simulation engine for training AI agents.
  • Building scalable infrastructure for parallel simulations.
  • Optimizing performance of complex simulation environments.
  • Improving environment and task creation processes.
  • Publishing research findings.

Skills

Strong engineering fundamentals
Experience with infrastructure
Knowledge of containerization
Experience with large scale distributed systems
Interest in reinforcement learning environments

Job description

About Polymath

Polymathisan 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.

  • 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, 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.
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