Build and own the recruiting marketplace’s AI/ML intelligence layer, including recommendation, ranking, retrieval, and LLM-powered candidate-role matching. Ship production features rapidly, architect data pipelines and model services, and translate founder product goals into deployed systems. The role requires applied machine learning, recommender systems, production LLM API experience, and strong Python or TypeScript skills. Work is fully on-site in San Francisco six days per week.
Founding ML/AI Engineer
San Francisco, on-site · Full-time · US Relocation assistance available
The build: As a founding ML/AI engineer, you'll own the intelligence layer of our recruiting marketplace — the
recommendation systems, ranking algorithms, and LLM-powered matching that
decide which candidate sees which role. This is the core of how the product
works, and it's yours to build.
What you'll do
- Own
the AI/ML intelligence layer end to end: recommendation, ranking, and
retrieval.
- Build
LLM-powered matching that measurably improves candidate-role alignment.
- Take
features from problem to production yourself, shipping on a daily cadence.
- Architect
and maintain the production data pipelines and services the models run on.
- Work
directly with the founders to turn product goals into shipped systems.
Requirements
What we're looking for
- 2–5
years shipping production software, with real applied ML depth. You've put
models in front of users, not just in notebooks.
- Hands-on
experience with recommender systems, ranking, or ML-powered matching — the
thing we care about most.
- Strong
in TypeScript or Python. Either is fine on its own.
- Production
experience with LLM APIs.
- Strong
CS fundamentals and a track record in fast, unstructured environments.
- Something
outstanding on your profile: a top program, a strong GitHub, projects
you're proud of.
- Nice
to have: React, Supabase, Prisma, Typesense, trigger.dev, embeddings and
vector search.
How we work: In person in SF at our hacker
house, 6 days a week. Intense cadence — better you know now than find out in
week two. Relocation assistance available.
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