• As a research engineer you will develop innovative methods for the validation and release of complex AI models, including probabilistic, generative, and large‑scale models.
• In close collaboration with validation teams in corporate research and the business units, you will design and develop forward‑looking concepts.
• Together with the business units, you will analyze technological requirements, particularly in the context of validation and safety of time‑series‑processing models.
• You will implement and engineer prototypical software solutions and demonstrate them in concrete Bosch use cases.
• Last but not least, you will integrate existing technologies into toolboxes that support the validation of modern AI functions.

• Education: completed PhD in Computer Science, Statistics, Physics, or a comparable technical field
• Experience and Knowledge:
  • several years of experience in AI-related topics within industrial product development (e.g., consumer goods, automotive, manufacturing), including hands-on involvement in product release processes, safety standards, and validation methods in software and AI environments
  • proven expertise in modern AI algorithms and principles, such as generative and large-scale models, deep neural networks, foundation models, and agentic AI, complemented by a strong background in statistics
  • extensive experience in developing robust, safe, and reliable AI solutions, including the integration of AI methods with formal methods and statistical approaches to address real-world engineering challenges
  • strong skills in implementing AI algorithms in Python, applying modern, production-grade software development practices and standards
• Personality and Working Practice: you are able to communicate complex technical topics clearly and enjoy working successfully in interdisciplinary and international teams
• Languages: business fluent English skills written and spoken, German is a plus

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