19 open roles
Founding ML/AI Engineer
Job description
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
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.
Description copied from Henkel's careers page. Read the full posting before you apply.
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