Machine Learning Engineer (m/f/d) – Map Topology & Geometry

Our mission at SafeAD is to deliver the most intelligent and safe autonomous driving technology. We believe the key to achieving this is all AI and mapless. Our technology is used by some of the world’s largest automakers and Tier 1 suppliers.

In this role, you’ll:

  • Develop and refine models for online road topology extraction and lane connectivity prediction
  • Design graph-based or transformer architectures to represent complex intersections without HD maps
  • Predicting geometric and temporally consistency map elements
  • 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 transformers and / or graph neural networks architectures
  • 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
  • Experience in applying machine learning to 3D scene understanding tasks
  • Worked in mid to large software projects

What we’ll offer you:

  • The chance to work on state-of-the-art technology for autonomous driving in a motivated team
  • A working place characterized by a flat hierarchy, quick processes and full focus on tech
  • Flexible working hours
  • A competitive salary
  • Stock options

If you share our vision and would like to be part of it, please submit your application.
We look forward to hearing from you!