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

About Us

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.

What You'll Do

• 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

Requirements

• 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

Plus

• 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
• Stock options