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Stellendetails zu: Research Engineer Neuro-Symbolic AI und Mulitmodal Assistant Systems (f/m/div.) / REF281557H

Research Engineer Neuro-Symbolic AI und Mulitmodal Assistant Systems (f/m/div.) / REF281557H

Kopfbereich

Angebotsart: Arbeit
Arbeitgeber: Robert Bosch GmbH

Besondere Merkmale

Arbeitsort

Renningen

Anstellungsart

Vollzeit

Befristung

unbefristet

Beginn

ab sofort

Berufsbezeichnung

  • Machine Learning Engineer

Stellenbeschreibung

Willkommen bei Bosch

Bei Bosch gestalten wir Zukunft mit hochwertigen Technologien und Dienstleistungen, die Begeisterung wecken und das Leben der Menschen verbessern. Unser Versprechen an unsere Mitarbeiterinnen und Mitarbeiter steht dabei felsenfest: Wir wachsen gemeinsam, haben Freude an unserer Arbeit und inspirieren uns gegenseitig. Willkommen bei Bosch.
Die Robert Bosch GmbH freut sich auf eine Bewerbung!

Job Description

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.

Qualifications

  • 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

Additional Information

https://www.bosch-ai.com
www.bosch.com/research
Please submit all relevant documents (CV, certificates, and links to GitHub or kaggle account).
We offer flexible working models: from various part-time options to mobile working and job sharing. Feel free to contact us.
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.
Work #LikeABosch starts here: Apply now!

Arbeitsorte

Unternehmensdarstellung: Robert Bosch GmbH

Robert Bosch GmbH

Informationen zur Bewerbung