Research Engineer - Reinforcement Learning and Agentic AI | Research Engineer - Reinforcement Learning and Agentic AI (f/m/div.) / REF275292O
Robert Bosch GmbH
Job Summary
As a Research Engineer at Bosch, you will be at the forefront of developing intelligent systems by bridging the gap between Reinforcement Learning (RL) and Agentic AI. Your day-to-day work involves architecting and deploying sophisticated AI models, fine-tuning multi-modal large models, and integrating generative AI with robust RL algorithms to solve real-world challenges in automated driving, smart home systems, and advanced manufacturing. You will lead high-impact research projects, collaborate with cross-functional product teams to deliver MVPs, and contribute to the global scientific community through publications. This role is unique because it offers the opportunity to transition cutting-edge academic research into scalable, industrial-grade applications within a global technology leader. You will work in an interdisciplinary environment that values innovation, safety, and scalable system design, helping to shape the future of Bosch's product portfolio.
Required Skills
Education
PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Experience
- Professional experience in Deep Reinforcement Learning and behavioral learning
- Proven track record in Agentic AI and working with large models (LLMs, VLMs, VLAs)
- Professional experience in software development within larger teams
- Experience in the deployment of ML-based systems for real-world solutions
- Experience with advanced fine-tuning methods (SFT, DPO, RLHF)
Languages
Additional
- Valid work permit for Germany required. Submission of CV, certificates, and links to GitHub or Kaggle accounts is required.
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