Research Scientist

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.

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.

• 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.

• 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:

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!

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 balance; and contribute to their community in meaningful ways. Click Learn for more information.

About Us
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.
We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment.

Our Commitment

At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.

If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.

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