• As a Research Scientist on Zoom’s GenAI Science Team, you will play a key role in developing Zoom’s proprietary large language models (LLMs)
• Conducting research and development on large language models to support Zoom’s AI Companion and meeting intelligence features
• Designing and implement model training pipelines, including data creation, filtering, and evaluation workflows
• Collaborating with cross-functional teams of scientists, engineers, and product managers to translate research into production-ready solutions
• Exploring and apply advanced post-training techniques such as RLHF, RLVR, and reward modeling
• Developing evaluation systems and benchmarks to measure model quality, human alignment, and task performance
• Contributing to the development of agentic AI systems capable of tool usage, function calling, and multi-modal understanding

Demonstrate advanced agent systems with function calls or tool usage

• 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

Be able to handle long-context modeling or retrieval-augmented generation

• 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)

$177 100,00 $387 500,00

• In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value
• Note: Starting pay will be based on a number of factors and commensurate with qualifications & experience

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