• As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents.
• Your primary focus will be on developing efficient engineering and MLOps solutions that help tailor these models to specific Bosch applications, e.g., by fine-tuning generic language models using Bosch's proprietary data, and making them ready for use in industrial applications.
• You will collaborate closely with various corporate research departments and business units to identify and develop novel applications of AI technologies across Bosch's extensive product and service portfolio.
• You will leverage your entrepreneurial mindset to evaluate, develop, and pitch new ideas that can drive innovation within the organization.
• Furthermore, you will play a vital role in generating and securing intellectual property, e.g. through high-quality publications in leading AI journals and conferences.
• You will write clean, efficient, and well-documented code that supports both research initiatives and the transfer of technology to practical applications.
• You will shape and influence Bosch's technological development by assessing emerging machine learning technologies and providing strategic insights.
• Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with Bosch specialists globally to maximize business impact. You will also conduct experiments on both our on-premises GPU cluster and cloud infrastructure.

• Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models
• Experience and Knowledge:
  • proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,...)
  • deep familiarity with state-of-the-art agentic AI and LLM research, combined with the ability to translate this know-how into practical industrial applications
  • extensive knowledge and experience in training, applying, evaluating, and adapting state-of-the-art foundation, large language (LLM), or vision-language (VLM) models within an industrial context (e.g., as part of an industrial AI team, or in academia working with large real-world datasets beyond academic benchmarks)
  • excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools
  • demonstrated proficiency in scalable machine learning architectures and distributed training (including multi-GPU/multi-node training), coupled with a strong drive to enable new applications and create an impact for Bosch
• Personality and Working Practice: you are a strong team player, highly self-motivated, and possess the conceptual strength and creativity to drive the spread of novel ideas and integrate the latest research solutions into Bosch products and services
• Languages: very good English skills written and spoken, German is a plus

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