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 AI Companion 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.

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 Zoom's AI Companion 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.

• 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); also experience with Megatron.
• Have LLM post‑training techniques such as RLHF, RLVR, reward modeling.
• Have experience 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.

Minimum:
$

Maximum:
$

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.

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.

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: (Use the "Apply for this Job" box below). for more information.

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.

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…