Research Engineer Neuro-Symbolic AI & Mulitmodal Assistant Systems (f/m/div.)

Do you want beneficial technologies being shaped by your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

The Robert Bosch GmbH is looking forward to your application!

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

• Work-life balance : Flexible working in terms of time, place and working model.
• Health & Sport : Wide range of health and sports activities.
• Childcare : Intermediary service for childcare services.
• Employee discounts : Discounts for employees.
• Room for creativity : Space for creative work.
• In-house social counseling and care services : Social counselling and intermediary service for care services.

The recruitment contact or superior will be happy to provide information about the individual benefit plan.