A newly formed team building the full lifecycle of AI hardware and software solutions.

Machine Learning Engineer

San FranciscoOn-site$125K - $250K4+ years
You are the engineer who sees model architecture and silicon constraints as a single puzzle to solve. In this foundational role, you will construct training pipelines from the ground up, bridging the gap between experimental research in PyTorch or TensorFlow and scalable deployment on AWS and GCP. Your work will directly define the technical trajectory of a tiny, elite group turning abstract concepts into delivered products.

What they're looking for

  • Four or more years of hands-on experience shipping machine learning models in Python.
  • Deep proficiency with modern frameworks such as PyTorch or TensorFlow and cloud infrastructure like AWS or GCP.
  • Proven ability to optimize algorithms for performance within hardware-constrained environments.
  • Experience integrating large language model APIs or similar generative AI technologies into production systems.

Tech stack

PythonPyTorchTensorFlowAWSGCPOpenAI

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.