Senior Machine Learning Engineer (Location Germany)

We are looking for an experienced Machine Learning Engineer to join a team developing next-generation perception systems for autonomous vehicles. In this role, you'll work on cutting-edge AI solutions that enable vehicles to understand and navigate complex real-world environments.
 

Responsibilities

• Design and improve perception algorithms for autonomous driving applications.
• Develop solutions for 3D object detection, semantic segmentation, object tracking, and drivable area estimation.
• Create and optimize automated data labeling pipelines to improve dataset quality while reducing manual annotation efforts.
• Implement reliable multi-object tracking algorithms operating in 3D environments.
• Train, evaluate, and optimize large-scale deep learning models using extensive datasets and high-performance computing infrastructure.
• Validate developed solutions through testing in real autonomous vehicle platforms.
   

Requirements

• Master's or PhD degree in Computer Science, Robotics, Artificial Intelligence, or a related technical field (or equivalent industry experience).
• Strong practical experience with deep learning for at least one sensor type, such as cameras, LiDAR, or radar.
• Experience working with modern neural network architectures, including Transformer-based models.
• Solid programming skills in Python and C++.
• Ability to work collaboratively in a fast-paced engineering environment with a strong willingness to learn.
   

Nice to Have

• Previous experience in autonomous driving, ADAS, robotics, or computer vision.
• Familiarity with deployment and optimization frameworks such as TensorRT, ONNX Runtime, or LibTorch.
• Experience contributing to medium or large-scale software systems.
• Understanding of performance optimization for machine learning inference.
   

What We Offer

• Opportunity to work on advanced AI technologies shaping the future of mobility.
• Highly technical environment with minimal bureaucracy and fast decision-making.
• Flexible working hours and hybrid work options.
• Competitive compensation package.
• Long-term growth opportunities within an innovative engineering team.
• Equity or long-term incentive program.