As a research engineer in the semantic understanding and reasoning group (CR/AIR4) at Bosch Corporate Research, you will develop the next generation of agentic AI systems based on reinforcement learning, with a primary focus on applications in systems engineering. + experience with model-based RL, offline RL, hierarchical RL, multi-agent RL, or constrained RL is highly desirable + experience with planning, search, optimization, or decision-making under constraints and uncertainty + solid experience in Python and modern deep learning frameworks such as PyTorch, TensorFlow, or JAX in industrial real-world applications + experience with Docker, Git, CI/CD, and collaborative software development practices + ability to build reproducible research infrastructure for training, benchmarking, and analyzing agentic AI systems * Personality and Working Practice: You bring a strong scientific track record in ...
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