Machine Learning Engineer - Map Topology & Geometry

Machine Learning Engineer - Map Topology & Geometry

SafeAD

Karlsruhe, Germany

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.