You will work on cutting-edge Agentic AI research while tackling real-world challenges in domains such as Industrial AI, Manufacturing, Mobility, and Smart Home. Unlike purely academic environments, you will have the opportunity to develop and validate novel AI technologies on large-scale real-world applications with measurable impact.
You will work closely with experienced Bosch researchers in Silicon Valley and across our global research network, receive mentorship from leading AI experts, and help transform cutting-edge research into real-world AI systems deployed in industrial domains.
Responsibilities
Depending on your expertise and interests, you will contribute to one or more cutting-edge research topics, including:
- Agent systems for industrial applications
- Autonomous AI agents and multi-agent systems
- Agent reasoning, planning, and decision making
- Agent memory and long-horizon task execution
- Agent self-improvement, continual learning, and adaptation
- Tool use, function calling, and agent-environment interaction
- Retrieval-Augmented Generation (RAG) and Agentic RAG
- Knowledge integration and grounding for agents
- LLM post-training, reinforcement learning, and test-time scaling
- Multi-modal agents leveraging language, vision, and structured data
- Human-agent collaboration and interactive AI systems
- Agent evaluation, benchmarking, reliability, and safety
Key responsibilities include:
- Conduct novel research in Agentic AI, LLMs, and related fields.
- Design, implement, and evaluate research prototypes demonstrating innovative AI agent capabilities.
- Collaborate closely with Bosch researchers and domain experts to address challenging industrial problems.
- Analyze experimental results and identify opportunities for scientific innovation.
- Publish research outcomes in top-tier AI conferences and journals, such as NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI, and COLM.