About the job
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.
Responsibilities
• Explore real-world use cases benefiting from Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents.
• Develop efficient engineering and MLOps solutions to tailor models to Bosch applications (e.g., fine-tuning generic language models using Bosch's proprietary data).
• Collaborate with corporate research departments and business units to identify and develop novel AI applications across Bosch's product and service portfolio.
• Evaluate, develop, and pitch new ideas to drive innovation.
• Generate and secure intellectual property via high-quality publications in leading AI journals and conferences.
• Write clean, efficient, and well-documented code supporting research and technology transfer.
• Assess emerging machine learning technologies and provide strategic insights.
• Conduct experiments on on-premises GPU cluster and cloud infrastructure.
Qualifications
Minimum
• Excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models.
• 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 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.
• 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).
Preferred
• German language skills (written and spoken) are a plus.
• Experience working with large real-world datasets beyond academic benchmarks.
• Strong team player, highly self-motivated, with conceptual strength and creativity to drive novel ideas and integrate latest research into Bosch products and services.