Research Scientist

Posted 4 Days Ago
Be an Early Applicant
Seattle, WA, USA
In-Office
138K-275K Annually
Entry level
Artificial Intelligence • Information Technology • Software
The Role
Conduct applied large language model research for Zoom AI Companion features, focusing on post-training, reinforcement learning, reward modeling, evaluation, agentic AI, tool usage, multimodal understanding, long-context modeling, and retrieval-augmented generation. Build training and evaluation pipelines, benchmarks, and annotation workflows while collaborating with scientists, engineers, and product managers to translate research into production-ready solutions.
Summary Generated by Built In

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.


About the Team

The GenAI Science Team collaborates closely with Zoom’s product teams 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:

  • 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.


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.


Our interviews are supported by BrightHire, a tool that helps us create a consistent and thoughtful interview experience and may include recordings. Please refer to our candidate privacy statement for more information of how we use your data.

Skills Required

  • Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Distributed Systems, or a related field
  • Publications in top-tier AI conferences such as ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, or AAAI
  • Proficiency in Python, PyTorch, and Hugging Face Transformers
  • Experience with Verl and Megatron
  • Experience with LLM post-training techniques, including RLHF, RLVR, and reward modeling
  • Experience building evaluation systems and benchmarks for AI models, including human-aligned metrics and annotation quality management
  • Experience developing agent systems with function calls or tool usage
  • Ability to work with long-context modeling or retrieval-augmented generation

Zoom Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Zoom and has not been reviewed or approved by Zoom.

  • Fair & Transparent Compensation Compensation is positioned at or above market for many roles, and postings often include clear pay ranges that help set expectations. Market standing among similar-size tech firms reinforces the perception of strong total rewards.
  • Equity Value & Accessibility Equity grants and an ESPP are prominent parts of the package and can materially augment cash compensation. Stock components are framed as a meaningful contributor to overall pay satisfaction.
  • Healthcare Strength Medical plan choice is broad and paired with free dental and vision for employees and dependents, plus robust mental-health resources and disability coverage. These elements position core health benefits as a standout strength.

Zoom Insights

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The Company
HQ: San Jose, CA
11,053 Employees
Year Founded: 2013

What We Do

Bring teams together, reimagine workspaces, engage new audiences, and delight your customers –– all on the Zoom platform you know and love. 💙 Zoomies help people stay connected so they can get more done together. We set out on a mission to make video communications frictionless and secure by building the world’s best video product for the enterprise, but we didn’t stop there. With products like AI Companion, Team Chat, Contact Center, Phone, Events, Rooms, Webinar, and more, we bring innovation to a wide variety of customers, from the conference room to the classroom, from doctor’s offices to financial institutions to government agencies, from global brands to small businesses. We do what we do because of our core value of Care: care for our community, our customers, our company, our teammates, and ourselves. Our global employees help our customers meet happier, communicate better, and create meaningful connections the world over. Zoomies are problem-solvers and self-starters, working hard to get results and moving quickly to design solutions with our customers and users in mind. Here, you’ll work across teams to dig deep into impactful projects that are changing the way people communicate, and find room to grow with opportunities to stretch your skills and advance your career in a diverse, inclusive environment. Learn more about careers at Zoom by visiting our careers site: https://careers.zoom.us/home

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