Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. It requires robust end-to-end machine learning systems that perform reliably across edge cases, ODD boundaries, and global market conditions. * You develop and industrialise end-to-end machine learning algorithms for ADAS functions. * Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches. * Degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications. * Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow. * Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets.
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