Kinetic

Kinetic

Senior Machine Learning Engineer

Costa Mesa, CA · Senior

Sponsorship not specifiedDetected 25 days ago
PythonFastAPIFlaskAWSDockerMachine LearningPyTorchNLPComputer VisionLLMsRoboticsSensorsCommunication

About the role

  • You will be a part of a small, production-minded ML team based in Orange County/Oakland.
  • However, you must 100% understand the underlying details of the code you ship.
  • Paid time off and holidays Kinetic is an equal opportunity employer.

Responsibilities

  • Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases
  • About Kinetic Kinetic Automation is building a network of automated repair centers for modern vehicles.

Requirements

  • You are obsessed with corner cases.
  • You have a sharp eye for data anomalies, run rigorous ablations, keep meticulous experiment logs, and can clearly communicate trade-offs
  • Experience & Skills Required Deep ML / CV Fundamentals: You need hands-on experience training and evaluating deep models for segmentation and detection (PyTorch).

Benefits

  • You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy vision models for tasks like semantic/instance segmentation and object/damage detection across 2D and 3D data.
  • Paid time off and holidays Kinetic is an
  • application process due to a disability, please let us know.

Company info

  • We encourage qualified candidates from all backgrounds to apply and join us in our mission.
  • We are a strong team of experienced robotics + automotive + shared mobility enthusiasts who have worked in self-driving, mapping, lidar, motorsport, and ride-sharing.
  • We are a venture backed startup (Series B) with a clear go-to-market strategy and meaningful revenue.
  • About the role You will be a part of a small, production-minded ML team based in Orange County/Oakland.

Equal opportunity

  • equal opportunity employer.
  • If you require accommodation at any stage of the

This listing is sourced directly from Kinetic's careers page and normalized into a canonical job model.