Research Scientist

Advance large language model research to enhance Zoommate features like meeting summaries and intelligent search. This role focuses on post-training techniques and model adaptation for practical product application in a collaborative, hybrid environment.

• Research and develop LLMs for Zoommate and meeting intelligence
• Apply post-training techniques like RLHF and RLVR
• Design and implement model training and evaluation pipelines
• Collaborate with cross-functional teams to deliver production-ready solutions
• Experience with Python, PyTorch, and Hugging Face Transformers
• First-authored publications in top-tier AI conferences