Early-stage AI consumer startup building intelligent connection systems

Founding Machine Learning Engineer

San FranciscoOn-site$200K - $375K4 - 8 years
You'll be a founding machine learning engineer at an early-stage consumer AI startup focused on building intelligent systems for human connection. You'll work directly with leadership on core ML infrastructure, model development, and deployment at scale. This is a hands-on role where you'll shape technical direction from day one across the full ML stack—from research to production.

What we're looking for

  • 4–8 years of experience building and shipping machine learning systems in production
  • Proficiency in Python and experience with PyTorch or TensorFlow
  • Comfortable with cloud infrastructure (AWS or GCP) and containerization (Docker, Kubernetes)
  • Familiarity with large language models and API-based AI services
  • Strong software engineering fundamentals and ability to work cross-functionally with small teams

Tech stack

PythonTypeScriptPyTorchTensorFlowDockerKubernetesAWSGCPOpenAI

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.