Machine Learning Engineer Autonomous Driving (m/w/d)

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 [email protected].

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