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About the Role
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.
Responsibilities
- 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
- 2–5 years shipping production software, with real applied ML depth.
- Hands-on experience with recommender systems, ranking, or ML-powered matching.
- Strong in TypeScript or Python.
- 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.
Skills
- TypeScript
- Python
- LLM APIs
- React
- Supabase
- Prisma
- Typesense
- trigger.dev
- embeddings
- vector search
Location
- San Francisco
Work Type
- Full-time
- On-site
Experience Level
- 2-5 years
Benefits
- US Relocation assistance available
About the Company
- In person in SF at our hacker house, 6 days a week.
- Intense cadence — better you know now than find out in week two.