As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop next-generation methods for training large behavior models for intelligent cyber-physical systems. Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. You will collaborate closely with , , control engineers, and domain to ensure that the developed methods are scientifically strong and strategically relevant for real-world Bosch systems. * Your contributions will help establish core Bosch capabilities in scalable behavior learning, model-based reinforcement learning, and physically grounded AI systems that can be trained, validated, and adapted efficiently across applications.
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