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Fruition Executive Search

Fruition Executive Search

Founding ML/AI Engineer

San Francisco, USTại chỗVĩnh viễnToàn thời gian

Đăng 21 thg 10, 2026

Tiêu chuẩn thị trường: trung vị 140.000 US$

dựa trên 8 công việc tại San Francisco

Công việc này được đăng bằng 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.



Tóm tắt vai trò

Loại công việc

Toàn thời gian

Kỹ năng yêu cầu

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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