Founding MLAI Engineer
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Job Summary
Founding ML/AI Engineer
San Francisco on-site Full-time US Relocation assistance available
The build: As a founding ML/AI engineer youll 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 its yours to build.
What youll 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.
What were looking for
- 25 years shipping production software with real applied ML depth. Youve 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 youre proud of.
- Nice to have: React Supabase Prisma Typesense 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.
Required Skills:
Python TypeScript recommender systems ranking retrieval LLM matching LLM APIs embeddings vector search data pipelines production ML PyTorch CS fundamentals
Required Education:
Bachelors degree from an accredited college or university is preferred but not required.
