A tiny, well-funded team pushing frontier intelligence to run on any device.

Member of ML Technical Staff

San FranciscoOn-site$200K - $350K1+ years
You are the engineer who obsesses over latency curves and knows exactly how many FLOPs fit on a mobile NPU. Here, you will rewrite the rules of on-device inference by merging cutting-edge research with brutalist C++ optimization. Forget abstract prototypes; your PyTorch models must survive the transition to production hardware without losing a single beat of accuracy.

What they're looking for

  • 1+ years of experience deploying machine learning models in production environments
  • Deep proficiency in PyTorch alongside expert-level C or C++ coding skills
  • Proven track record of optimizing neural networks for edge or mobile hardware
  • Ability to thrive in a microscopic, high-impact engineering collective
  • Relocation readiness for an on-site role in San Francisco

Tech stack

PyTorchCC++

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.