Senior Machine Learning Engineer – Localization
Autonomous Vehicles | Remote (US or Canada)
$187,000 – $250,000 base + bonus + equity

About the company

Our client is a well-funded autonomous driving company building Level 4 self-driving technology. It has strong long-term backing and is moving toward commercial deployment, so the models built now will run in real-world operation.

About the team

You’ll join the localization team, which builds the ML models, state estimation algorithms and production software that tell the vehicle exactly where it is and how it’s moving, in real time. The team fuses data from cameras, LiDAR, radar and other sensors, and works closely with perception, mapping, planning and controls.

What you’ll do

  • Design, train and deploy production ML models for learned localization, odometry, pose estimation, sensor calibration and map matching
  • Build scalable training and evaluation pipelines in PyTorch on large real-world datasets
  • Improve state estimation and multi-sensor fusion algorithms
  • Analyze large-scale data to find failure modes and drive improvements
  • Write production code in Python and C++
  • Own features end to end and lead design discussions

What we’re looking for

  • Hands-on experience developing your own ML models for localization problems, including architecture, training, loss functions and experimentation
  • Experience with learned localization, odometry, pose or state estimation, calibration or map matching
  • Strong PyTorch and Python skills
  • A solid grounding in 3D geometry, coordinate transforms and probabilistic estimation
  • Experience taking models into production
  • An MS with 3+ years of relevant experience, a PhD with 1+ year, or equivalent

Nice to have

  • Traditional localization experience such as SLAM, visual odometry, factor graphs or Kalman filtering, alongside modern ML
  • C++
  • Distributed training, real-time deployment or uncertainty-aware ML

Backgrounds welcome

Automotive, robotics, aerospace, drones, industrial robotics and mobile localization are all welcome. Strong PhDs with applied research are encouraged to apply.

Why join

  • Build the core localization models for a Level 4 system heading into commercial deployment
  • Develop your own models, not off-the-shelf solutions
  • Work with large-scale real-world sensor data
  • Fully remote, with visa sponsorship available