Research Scientist at Zoom Communications in Seattle, WA

Job description

What You Can Expect As a Research Scientist on Zoom's GenAI Science Team, you will play a key role in advancing and applying large language model (LLM) research to enhance Zoommate features such as meeting summaries, intelligent search, and agentic AI capabilities. This role focuses on post-training, reinforcement learning, and model adaptation to improve existing models for real-world product use. You can expect to work in a collaborative, product-focused environment that values both scientific rigor and practical impact. This is a hybrid position that requires on-site presence 4 days per week at our Seattle, WA office. Remote arrangements are not available for this role. About the Team The GenAI Science Team collaborates closely with Zoom's AI Incubation team to deliver applied research that powers AI-driven meeting intelligence and productivity features. The team's mission is to bridge cutting-edge AI research with scalable product delivery, ensuring that Zoom's AI systems are robust, efficient, and aligned with user needs. Responsibilities Conduct research and development on large language models to support Zoommate and meeting intelligence features. Design and implement model training pipelines, including data creation, filtering, and evaluation workflows. Collaborate with cross-functional teams of scientists, engineers, and product managers to translate research into production-ready solutions. Explore and apply advanced post-training techniques such as RLHF, RLVR, and reward modeling. Develop evaluation systems and benchmarks to measure model quality, human alignment, and task performance. Contribute to the development of agentic AI systems capable of tool usage, function calling, and multi-modal understanding. What We're Looking For Master's degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field. First-authored publications in top-tier AI conferences (e.g., ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, AAAI). Strong programming proficiency in Python, PyTorch, and Hugging Face Transformers (required); Verl and Megatron (preferred). Proven experience in creating, collecting, and filtering data for LLM training and evaluation. Experience in at least two of the following areas:LLM post-training techniques such as RLHF, RLVR, reward modeling, or preference learning.Building evaluation systems and benchmarks for AI models, including human-aligned metrics and annotation quality management.Zoom-related NLP or multi-modal tasks, including Q&A, dialogue, summarization, information retrieval, or recommendation systems.Developing advanced agent systems with function calls or tool usage.Handling long-context modeling or retrieval-augmented generation. Salary Range or On Target Earnings: $206,600.00 - $451,800.00 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. We also have a location based compensation structure; there may be a different range for candidates in this and other locations At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application! Anticipated Position Close Date: 10/30/26 Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting. Benefits 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