Machine Learning Engineer - Perception Tasks

Machine Learning Engineer - Perception Tasks

SafeAD

Karlsruhe, Germany

In this role, you’ll:

• Improve core perception tasks: 3D Object Detection, Tracking, Segmentation, and Freespace estimation;
• Build and scale Auto-labeling pipelines to reduce manual annotation costs and increase data diversity;
• Implement robust tracking-by-detection algorithms in 3D space;
• 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 deep learning in at least one sensor modality (camera/LiDAR/RADAR), ideally using transformer based 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;
• Knowledge of TensorRT, LibTorch, or ONNX for hardware-specific deployment;
• Worked in mid to large software projects.