Machine Learning Engineer Automatisiertes Fahren (m/w/d)
Core
Develop, validate, and optimize ML/AI solutions for automated driving using sensor, vehicle, and fleet data across the full ML lifecycle.
Role type
Machine Learning Engineer (Automated Driving)
Builds
Perception, scene understanding, and prediction models for automated driving functions and driver assistance systems.
Domain
Automotive / Autonomous Driving / Computer Vision
Deliverable
production ML models
Required skills
Python, Deep Learning, Computer Vision, Sensor Data Analysis (Camera/Radar/LiDAR), Model Training & Optimization, Linux, Git, Docker
Preferred skills
C++, Rust, SQL, Foundation Models, Vision-Language Models, Generative AI, Edge AI, Cloud Platforms (Azure/AWS), MLOps, Embedded AI
Technologies
PyTorch, Hugging Face, TensorFlow, OpenCV, NumPy, Pandas, Azure, AWS
Responsibilities
Develop and implement ML solutions for automated driving; Analyze and process multimodal sensor data; Develop, train, and optimize Deep Learning and Computer Vision models; Collaborate on integrating modern AI technologies like Foundation Models and Generative AI; Support development of sensor fusion and environment modeling solutions; Conduct technology evaluations, benchmarking, and PoCs; Optimize algorithms for performance, robustness, scalability, and real-time capability.
Seniority
Junior to Mid-level, hands-on IC
