Venture-backed AI startup building autonomous agents for enterprise growth

Machine Learning Engineer

South Bay Area, San FranciscoOn-site$160K - $225K3 - 8 years
You'll work on machine learning systems that power autonomous agents designed to help businesses extract actionable insights from their data. The role sits at the intersection of AI research and production systems, where you'll build and optimize models that operate at scale across marketing, ad tech, and fintech use cases. You'll collaborate with a 25-person team in the South Bay, working on-site with modern ML infrastructure and deployment practices.

What we're looking for

  • 3–8 years of professional machine learning engineering experience
  • Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow)
  • Experience with ML infrastructure tools: Kubernetes, MLflow, Spark, and Airflow
  • Demonstrated ability to take models from research to production at scale
  • Experience shipping ML systems in at least one of: ad tech, marketing, or fintech

Tech stack

PythonPyTorchTensorFlowKubernetesMLflowSparkAirflow

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.