Founding Engineer (AI / ML)

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

Onsite From the posting source checked Jun 20, 2026

In-office days

5 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

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Where they hire

State eligibility is not yet verified.

About this role

Founding Engineer (AI / ML) San Francisco | OnSite Our Company We're building the platform for worldbuilders, storytellers, and game devs to create and publish any 'what if' they can think of. So far, most of the 6k+ user published games on our site are historical- what if Rome never fell? what if you could go back to 2016 and start over?- but we're growing into more genres by the day. Our 50k+ daily active users play different games by writing free text actions and chats with other countries. AI then powers the worlds' response (make an account https://www.paxhistoria.co/games to try it yourself, or demo here https://youtu.be/-RXSxMVLcL4?si=2zNVo2wipkxTKpHS). We've seen nearly 43 million rounds played and are growing quickly. We're backed by Y Combinator (W26), Bessemer, Pace Capital, Z Fellows, and more. Join us to help build the future of interactive entertainment. The Role We need a founding level AI/ML developer to work in-person full-time in San Francisco. Your north star metric will be to improve user-preference win-rates over off-the-shelf options with the same inference budget. Some fun challenges we're thinking about, and you'll be working on: - We collect and publish https://www.paxhistoria.co/arena?tab=pareto user preference data on which models give the best responses, and have a working internal eval system, but there's a lot more to be done here. - We need to build and run the infrastructure needed to rigorously tailor harnesses and prompts to individual AI models. - Training domain-specific models to close or even eliminate the gap between

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