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Research Engineer - Large Language Models for Multi-agent Systems (f/m/div.)

Bosch Group -
Renningen

Jetzt bewerben

Details zur Stelle

Festanstellung | Teilzeit | Vollzeit

Qualifikationen

TensorFlow
CI/CD
Azure
Doktorat
Informatik
PyTorch
Git
Google Cloud Platform
Forschungserfahrung
Master
Sprachwissenschaft
Docker
Machine Learning
Deep learning
Systems Engineering
Künstliche Intelligenz
Python
Data Science

Vollständige Stellenbeschreibung

Aufgaben

As an AI research engineer at Bosch, you will exploit and advance the novel capabilities of cutting-edge Large Language Models (LLMs) towards building multi-agent AI systems that solve and optimize complex engineering problems for software, hardware, and mechatronic systems. You will work towards building robust, safe, efficient, and scalable solutions for a diverse array of Bosch applications.

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio.
Code Quality and Efficiency: As part of your tasks, you write clean, efficient, and well-documented code that supports both research initiatives and the transfer of technology to practical applications.
Additionally, you will develop best-practices and share them with the team.
Fuel Multi-agent Systems with Bosch Data and Tools: You will focus on working with Bosch's proprietary data to fine-tune and adapt generic language models, and use them as basis for multi-agent systems that interact with state-of-the-art design, simulation and optimization tools. This includes understanding the data and tools with domain experts, as well as designing and implementing robust data ingestion pipelines for model training and inference.
Entrepreneurial Ideation: Last but not least, you leverage your entrepreneurial mindset to evaluate, develop, and pitch new ideas that drive innovation within the organization.

Profil

Education:
- excellent Master in Computer Science, Data Science, Mathematics, Physics, Computational Linguistics, or related fields
- PhD in Machine Learning, AI or Computational Linguistics
- strong publication record on large language models, generative AI and agentic AI in top-tier conferences (NeurIPS, ICLR, ACL, EMNLP, ICML, CVPR, etc.) is a plus
Experience and Knowledge:
- LLMs and Agentic AI:
  - deep knowledge and experience with state-of-the-art LLMs, and their improvement via fine-tuning or advanced RAG mechanisms.
  - experience with agentic AI and building agentic workflows, in particular multi-agent systems (e.g. LangChain, AutoGen, …)
  - broad experience with modern machine learning methods and tools
- AI-based Engineering:
  - strong interest in applying AI to systems engineering tasks such as design-space exploration, requirement analysis, architecture optimization, verification support, or engineering workflow automation
  - interest in combining formal engineering processes with adaptive AI methods
- Industrial experience, AI Infrastructure & Experimentation:
  - strong programming skills in Python and experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX or others) in industrial real-world applications
  - familiarity with scalable experimentation, distributed training, and evaluation pipelines
  - experience with Docker, Git, CI/CD, and collaborative software development practices
  - ability to build reproducible research infrastructure for training, benchmarking, and analyzing agentic AI systems
  - experience with cloud platforms (e.g., MS Azure, GCP) for deploying and scaling AI/ML models is a plus
Personality and Working Practice: you possess entrepreneurial mindset with the ability to translate advanced research into practical innovation; you are a strong team player, highly self-motivated with conceptual strength and creativity, and drive to bring latest research solutions into products and service
Enthusiasm: you feel comfortable working in interdisciplinary teams and contributing to collaborative initiatives across Bosch research and development
Languages: fluent in English, German is a plus

Wissenswertes zum Job

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!

Hinweise zur Bewerbung

Solange diese Stelle in unserer Jobbörse ausgeschrieben ist, suchen wir nach passenden Kandidatinnen und Kandidaten.

Aus Datenschutzgründen ist eine Bewerbung nur über unser Bewerbungsportal möglich. Bewerbungen per Mail oder Post können wir daher leider nicht berücksichtigen.

Willkommen in Renningen

Unser Forschungscampus in Renningen bildet den internationalen Knotenpunkt unserer Bereiche Forschung und Vorausentwicklung, Cross-Domain Computing Solutions und Bosch Center for Artificial Intelligence. Mitarbeiter aus aller Welt arbeiten daran, Antworten auf die Fragen von Übermorgen zu finden. Damit sich die Ideen unserer Forscher optimal entfalten können, ist der Campus ein Netz der kurzen Wege zwischen Kommunikation und Inspiration, an dem der Kreativität keine Grenzen gesetzt sind. Wollen auch Sie die Zukunft gestalten? Wir freuen uns auf Ihre Neugier und Innovationsfreude.

Mehr zum Standort erfahren

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!

Noch Fragen? Wir helfen gerne weiter! Rund um den Bewerbungsprozess Rund um den Job Technischer Support Fragen zum Bewerbungsprozess? Meltem Arabacioglu (Human Resources) steht bereit. +49 174 1744 961

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Erweiterte Suche

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