Machine Learning Engineer - Planning & E2E Driving

Machine Learning Engineer - Planning & E2E Driving

SafeAD

Karlsruhe, Germany

In this role, you’ll:

  • Develop ML-based motion planners that navigate complex urban environments safely;
  • Lead experiments in End-to-End (E2E) driving and high-level maneuver planning;
  • Investigate the use of Foundation Models/VLA for interpretable decision-making and “reasoning” in edge cases;
  • Bridge the gap between perception outputs and control commands using probabilistic frameworks;
  • Work on large ML models and big data with our ever growing in-house compute;
  • Test your software in our self-driving vehicle.

We require you to have:

  • MSc/PhD in Computer Science, Robotics or equivalent experience;
  • Experience with sequence to sequence modelling with transformers and/or foundation models;
  • Strong experience programming in C++ and Python;
  • A strong team player and learning mindset.

It’s a plus if you have:

  • Hands-on experience in the fields of autonomous driving and computer vision;
  • Background in Reinforcement Learning (RL), Imitation Learning, or Behavior Cloning;
  • Worked in mid to large software projects.

Don't forget to mention EuroTechJobs when applying.

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