Machine Learning Engineer

Machine Learning Engineer (m/f/d)

Our mission at SafeAD is to deliver the most intelligent and safe autonomous driving technology. We believe the key to achieving this is a core autonomy model trained over different platforms and use cases. Our technology is used by some of the world’s largest automakers and Tier 1 suppliers.

In this role, you’ll:

• Work on large ML models and big data with our ever growing in-house compute.
• Improve and develop new features for 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

We require you to have:

• MSc/PhD in Computer Science, Robotics or equivalent experience
• Experience solving problems using Machine Learning with PyTorch
• Strong experience programming in C++ and Python
• A strong team player and learning mindset

You can apply for  one of the four topics  listed below. We encourage you to explore the topic descriptions on our website and choose the one that best matches your interests and experience:

• Map Topology & Geometry
• Sensor Fusion & Core AI
• Perception Tasks
• Planning & E2E Driving

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
• Flexible working hours
• A competitive salary
• Stock options

If you share our vision and would like to be part of it, please submit your application.

We look forward to hearing from you!