Are you passionate about building intelligent systems that truly understand and reason, especially within the complex fields of manufacturing, product development, and maintenance? Neuro-Symbolic AI is leading the next big step in AI, offering huge potential to improve production, boost automation, and enable smarter decisions, bringing us closer to human-like intelligence. We are seeking a highly motivated research engineer to strengthen our team, drive the development of Neuro-Symbolic AI approaches, and enable their practical application in concrete use cases.

• As part of our advanced research team, you will conduct excellent research on Neuro-Symbolic AI methodologies to combine formal knowledge representations with machine learning techniques.
• You will independently develop and integrate multi-modal data pipelines for Neuro-Symbolic AI.
• Additionally, you will design and implement the architecture for advanced analysis and reasoning engines for solving complex problems.
• You will design and implement knowledge-based AI systems with natural language interaction.
• Furthermore, you will work closely with an international team of experts to effectively transfer research solutions into business-relevant use cases such as product development, maintenance, and repair.
• Last but not least, you will proactively stay informed about the latest advances in AI and machine learning to keep Bosch at the forefront of innovation in this field.

• Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience and Know-how: 
  • expertise in Neuro-Symbolic AI architectures and frameworks
  • proven ability to design, implement, and integrate hybrid AI systems that combine machine learning with symbolic reasoning (e.g., knowledge graphs, rule sets, logic programming, ontologies) to meet complex requirements
  • advanced knowledge in building robust data pipelines for multi-modal integration (integration, cleaning, and preprocessing of heterogeneous data sources)
  • practical experience in applying state-of-the-art NLP techniques (e.g., Transformers, LLMs, information extraction) to understand user queries, extract insights from texts, and contribute to the automatic construction and expansion of dynamic knowledge bases
• Personality and Working Practice: you succeed in translating complex research findings into practical solutions and enjoy working in an international team.
• Languages: very good English skills written and spoken, German is a plus