About the job
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. 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
Minimum
Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field
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
You succeed in translating complex research findings into practical solutions and enjoy working in an international team.
Very good English skills written and spoken; German is a plus
Preferred
No preferred qualifications listed.