onsite
Research Engineer - Large Language Models for Multi Agent Systems - Robert Bosch GmbH
Research Engineer
Lead research on large language models tailored for multi‑agent systems, developing scalable NLP solutions with Python and PyTorch to enable intelligent, coordinated agent behavior across distributed environments.
About the role
Key Responsibilities
- Design, implement, and evaluate large language models optimized for multi‑agent coordination and communication.
- Develop end‑to‑end pipelines using Python and PyTorch, integrating reinforcement learning techniques for agent training.
- Collaborate with cross‑functional teams to deploy scalable, distributed solutions on cloud or edge platforms.
- Publish findings in technical reports and conferences, contributing to the open‑source community.
- Mentor junior researchers and maintain best practices for reproducible research.
Requirements
- PhD or Master’s in Computer Science, AI, or related field with focus on NLP or multi‑agent systems.
- Strong programming skills in Python and experience with PyTorch or TensorFlow.
- Proven track record in training and fine‑tuning large language models.
- Knowledge of reinforcement learning, distributed computing, and cloud deployment.
- Excellent communication skills and ability to work in a collaborative research environment.
Skills
pythonpytorchreinforcement learning