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Software Engineer

Polymath - San Francisco | Remote

Posted Jun 10, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
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401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Company stage
Seed From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software 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: -

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