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Fruition Executive Search

Founding ML/AI Engineer

San Francisco, USPresencialPermanenteTiempo completo

Publicado 21 oct 2026

Este empleo está publicado en EN

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.



Resumen del puesto

Tipo de empleo

Tiempo completo

Habilidades requeridas

Recommender SystemsRanking AlgorithmsInformation RetrievalLLM-Powered Candidate-Role MatchingProduction Machine Learning DeploymentLLM API IntegrationTypeScript or Python ProgrammingProduction Data Pipeline EngineeringProduction Service Architecture and MaintenanceEmbeddings and Vector SearchComputer Science FundamentalsRapid Product Development in Unstructured Environments

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