Expert Machine Learning Perception Engineer – Self-Driving
On-siteFrankfurt am Main, Hesse, Germany
Job Summary
Develop and optimize algorithms for 3D object detection, multi-object tracking, and semantic segmentation using multi-sensor data including cameras, LiDAR, and radar. Design foundation models for scalable perception and build fusion pipelines to enhance robustness under diverse driving scenarios. Research state-of-the-art methods in BEV perception, occupancy networks, and multimodal fusion, then translate insights into production-ready solutions optimized for real-time inference on automotive-grade hardware. Execute evaluation and benchmarking across real-world datasets and simulations while collaborating with cross-functional teams to integrate models into the full self-driving stack. Contribute to data curation, annotation strategies, and scalable training pipelines.
Required Qualifications
- MSc/PhD in Computer Science, Electrical Engineering, Robotics, or a related field
- 5+ years of relevant industry experience
- Strong foundation in machine learning, computer vision, and 3D geometry
- Hands-on experience with 3D object detection/tracking architectures
- Familiarity with foundation models for vision or multimodal learning (e.g., large-scale pretraining, transfer learning, self-supervised learning etc.)
- Proficiency in Python and/or C++, with expertise in modern ML frameworks (PyTorch, TensorFlow)
- Experience in handling 3D point cloud data
- Knowledge of multi-sensor calibration and fusion techniques
- Strong software engineering skills with emphasis on scalability, reliability, and performance optimization
- Ability to take algorithms from research to deployment in production systems
- Excellent problem-solving skills, creativity, and ability to work in fast-paced, collaborative environments
Desired Qualifications
- Experience with autonomous driving or ADAS perception systems
- Background in SLAM, 3D reconstruction, occupancy networks, or sensor simulation
- Track record of publications in top-tier conferences
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