Senior AI Engineer - Human-Like Behaviour | Senior AI Engineer - Human-Like Behaviour (f/m/x)
BMW AG
Job Summary
As a Senior AI Engineer at BMW's Autonomous Driving Campus, you will lead the development and industrialization of end-to-end machine learning algorithms for advanced driver assistance systems (ADAS). Your primary focus will be designing and improving human-like driving behaviors using reinforcement learning and hybrid data-driven approaches. You will manage the entire training and evaluation cycle, from data selection to error diagnosis and validation across global markets. This role is unique as it bridges the gap between high-level AI research and production-scale automotive engineering, requiring you to translate complex regulatory and user needs into production-ready function increments. You will work with one of the industry's largest real-world datasets to advance explainability and context modeling, ultimately shaping how next-generation autonomous vehicles interact with their environment and passengers. This position offers the chance to see your AI models deployed in premium vehicles worldwide while enjoying a comprehensive benefits package including profit sharing and flexible working hours.
Required Skills
Education
Degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications.
Experience
- Several years of hands-on experience in real-world, ML-based ADAS or autonomous driving development
- Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow
- Demonstrated ownership and delivery impact in a large-scale autonomy stack or robotics environment
- Deep expertise in large-scale model development, including training, evaluation, and error analysis
- Experience in safety-critical or regulated environments is preferred
Languages
Additional
- This is a full-time, unlimited contract position based at the Autonomous Driving Campus. Candidates must be able to systematically derive complex function changes and implement them in a production-ready manner.
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