Research Engineer, Gemini Multi-turn

Research and develop new approaches to enhance the multi-turn capabilities, factuality, and tool-use of Gemini LLMs. Collaborate with cross-functional teams to implement supervised fine-tuning and reinforcement learning experiments for production deployment. Requirements: Requires a Bachelor's degree in CS or AI with 5 years of Python experience and a track record of first-author publications in LLM conferences. Experience in post-training techniques like RLHF and working with distributed deep learning frameworks is essential. Key Skills: Python, Large Language Models, SFT, RLHF, DPO, PPO, JAX, Flax, Distributed Systems, Model Alignment, Generative AI, Multi-turn Conversational Modeling, Long-context Reasoning, Tool-use, Function Calling, Search Grounding Benefits: Bonus Target, Equity, Benefits #J-18808-Ljbffr Google