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End-to-End Closed-Loop Reinforcement Learning Scientist

Bosch GroupShanghai
On-site Full-time

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Experience Level

Entry Level

Qualifications

The ideal candidate should possess a strong foundation in reinforcement learning, machine learning, and artificial intelligence. A Master's or PhD in Computer Science, Engineering, or a related field is preferred. Candidates should have experience with programming languages such as Python or C++, and familiarity with machine learning frameworks like TensorFlow or PyTorch is a plus. Strong analytical skills and the ability to work effectively in a team-oriented environment are essential.

About the job

Join Bosch Group as an End-to-End Closed-Loop Reinforcement Learning Scientist in Shanghai, where you will leverage cutting-edge artificial intelligence technologies to innovate and improve autonomous driving systems. Collaborate with a team of experts to develop and implement robust reinforcement learning algorithms that enhance vehicle performance and safety.

About Bosch Group

Bosch Group is a global leader in technology and engineering, renowned for its innovative solutions in mobility, industrial technology, consumer goods, and energy and building technology. With a commitment to sustainability and social responsibility, Bosch is dedicated to creating technologies that enhance the quality of life.

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