A spatial intelligence startup building foundation models for engineering design.

Machine Learning Engineer, New Grad

San FranciscoOn-site$150K - $220K0 - 2 years
Physical engineering remains bottlenecked by legacy tools and intuition. As a new grad engineer here, you will train foundation models that translate spatial reasoning into next-generation design workflows. You will write production-level training loops in PyTorch, optimize inference in C/C++, and collaborate closely with researchers to push architectures from whiteboard concepts into real manufacturing and robotics pipelines.

What they're looking for

  • 0 to 2 years of software or ML engineering experience, including internships
  • Fluency in Python and C/C++, with hands-on PyTorch project work
  • Solid grasp of version control via Git
  • Demonstrated interest in spatial intelligence, robotics, or applied physics
  • Willingness to work on-site in San Francisco

Tech stack

PythonCC++PyTorchGit

Apply for this role

We use AI to help match your experience to the roles where you fit best. A member of our team reviews every application, and all hiring decisions are made by people.

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.

Share this role