Our mission at SafeAD is to bring autonomous driving to the masses. Therefore we develop a next-generation autonomous driving perception and scene understanding system: It does not rely on expensive sensors or HD maps but follows a mapless, vision-first, all-AI philosophy. Check out our latest LinkedIn post showcasing the live results of our system, including 3D perception, vectorized 3D map prediction, object tracking and prediction, traffic light recognition, and more: https://shorturl.at/tsKmL In this role, you’ll: Improve and develop additional features of our multi-task scene understanding AI model Optimize and deploy the model to run on production hardware Streamline our training pipeline Test your software in our self-driving vehicle At a minimum we’d like you to have: MSc/PhD in Computer Science, Robotics or equivalent experience 3 years of relevant professional experience (PhD time counts) Experience solving problems using Machine Learning with PyTorch Strong experience programming in Python A strong team player and learning mindset It’s preferred 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 Have worked in mid to large software projects What we’ll offer you: The chance to work on state-of-the-art machine learning for autonomous driving A working place characterized by a flat hierarchy, quick processes and full focus on state-of-the-art technology Flexible working hours A competitive salary Stock option program If you share our vision and want to be part of it, contact us at jobssafead.de. Please attach your résumé, transcripts, references, and any other information you find useful.