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

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

Full-time

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: We grow together, we enjoy our work, and we inspire each other. 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.

Responsibilities

• Conduct excellent research on Neuro-Symbolic AI methodologies to combine formal knowledge representations with machine learning techniques.
• Independently develop and integrate multi-modal data pipelines for Neuro-Symbolic AI.
• Design and implement the architecture for advanced analysis and reasoning engines for solving complex problems.
• Design and implement knowledge-based AI systems with natural language interaction.
• 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.
• Proactively stay informed about the latest advances in AI and machine learning to keep Bosch at the forefront of innovation in this field.

Qualifications

• Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• Experience and Knowledge:
  • 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: Successful at translating complex research findings into practical solutions and enjoys working in an international team.
• Languages: Very good written and spoken English skills. German is a plus.

Application

Please submit all relevant documents (CV, certificates, and links to GitHub or Kaggle accounts).

We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.

Diversity & Inclusion

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Contact

Need further information about the job?
Mirjam Steger (Functional Department)

Work #LikeABosch starts here: Apply now!