Job Description
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. Education: excellent Master in Computer Science, Data Science, Mathematics, Physics, Computational Linguistics, or related fields PhD in Machine Learning, AI or Computational Linguistics strong
