Founding AI/ML Engineer - Recommender & Matching

Accrescent Group; San Francisco (CA); On-site; USD 160,000 - 230,000; Full time

Benefits offered by this job

Relocation assistance available

Job summary

Accrescent Group in San Francisco is seeking a Founding ML/AI Engineer with 2–5 years of production software experience and strong applied machine learning expertise to own the intelligence layer of our recruiting marketplace. You will ship end-to-end ML systems, build recommendation and ranking components, and leverage LLM-powered matching to improve candidate-role alignment.

Proficiency in TypeScript or Python and hands-on experience with production ML are essential.

Qualifications

• 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.
• 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.
• Nice to have: React, Supabase, Prisma, Typesense, trigger.dev, embeddings and vector search.

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.

Skills

TypeScript

Python

Production ML

Recommender systems

Ranking algorithms

LLM APIs

Vector search

React

Supabase

Prisma

Typesense

Embeddings

End-to-end ML

Tools

LLM APIs

Typesense

Prisma

Supabase

Job description

Accrescent Group in San Francisco is seeking a Founding ML/AI Engineer with 2–5 years of production software experience and strong applied machine learning expertise to own the intelligence layer of our recruiting marketplace. You will ship end-to-end ML systems, build recommendation and ranking components, and leverage LLM-powered matching to improve candidate-role alignment.

Proficiency in TypeScript or Python and hands-on experience with production ML are essential.