Research Scientist

Role overview

Responsibilities

• check_circle Conducting research and development on large language models to support Zoom’s AI Companion and meeting intelligence features.
• check_circle Designing and implement model training pipelines, including data creation, filtering, and evaluation workflows.
• check_circle Collaborating with cross-functional teams of scientists, engineers, and product managers to translate research into production-ready solutions.
• check_circle Exploring and apply advanced post-training techniques such as RLHF, RLVR, and reward modeling.
• check_circle Developing evaluation systems and benchmarks to measure model quality, human alignment, and task performance.
• check_circle Contributing to the development of agentic AI systems capable of tool usage, function calling, and multi-modal understanding.

Basic qualifications

• Possess a master’s degree or PHD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field.
• Have publications in top-tier AI conferences (e.g., ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, AAAI).
• Have proficiency in Python, PyTorch and Hugging Face Transformers (required); Verl and Megatron.
• Have LLM post-training techniques such as RLHF, RLVR, reward modeling.
• Have experience in building evaluation systems and benchmarks for AI models, including human-aligned metrics and annotation quality management.
• Demonstrate advanced agent systems with function calls or tool usage.
• Be able to handle long-context modeling or retrieval-augmented generation.

Benefits

• check_circle As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.

About the company