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 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.

Responsibilities:

• 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.

What we're looking for:

• 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.

Salary Range or On Target Earnings:

Minimum:
$137,700.00

Maximum:
$275,400.00

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:

08/28/26

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