An early-stage AI infrastructure team building the ingestion layer between human data and machines.

Machine Learning Eval Engineer

San FranciscoOn-site$150K - $300K2 - 5 years
You are a rigorous engineer who finds deep satisfaction in defining ground truth and stress-testing model behavior at scale. Your daily work involves architecting robust evaluation pipelines in Python and TypeScript to validate how machines interpret complex human inputs. We need someone who treats model assessment not as an afterthought, but as the critical feedback loop that drives product reliability.

What they're looking for

  • 2 to 5 years of experience in machine learning engineering or backend development.
  • Deep proficiency in Python and TypeScript with hands-on AWS infrastructure experience.
  • A proven track record of designing evaluation frameworks for large-scale AI systems.
  • Ability to work on-site in San Francisco within a collaborative, high-velocity team.

Tech stack

PythonAWSTypeScript

Apply for this role

This role is one we're recruiting for on behalf of a client company; the client's identity is kept confidential at this stage. A Fluency recruiter will follow up with details.