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Zoom

Research Scientist - AI Incubation

Reposted 3 Days Ago
Be an Early Applicant
In-Office
San Jose, CA, USA
138K-275K Annually
Expert/Leader
In-Office
San Jose, CA, USA
138K-275K Annually
Expert/Leader
Contribute to AI research in LLM post-training and reinforcement learning, developing scalable systems for Zoom's AI Companion. Engage in innovative research, implement model architectures, and partner with teams to translate prototypes into production systems.
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What you can expect

Zoom's AI Incubation team seeks a Research Scientist to advance AI-driven innovation in healthcare. You will join a world-class group of PhDs and applied scientists working at the intersection of LLMs, multimodal understanding, and Agentic AI. Together, you'll build systems that empower clinicians to deliver better patient outcomes, reduce healthcare costs, and improve care accessibility.

As a Research Scientist, you will develop AI that reasons over complex, heterogeneous data to surface actionable insights for clinical decision support and point-of-care intelligence. You'll design AI agents capable of automating workflows end-to-end, partnering closely with product and infrastructure teams to transform research into production-ready systems.
 

About the Team

Zoom is the leading platform for video communications, trusted by hundreds of millions of users worldwide. With AI woven into every product, Zoom moves beyond communication to take users from conversation to completion — ensuring every interaction leads to clear outcomes. Zoom's ASR consistently ranks among top performers in OpenASR benchmarks, while its federated AI architecture powers millions of meeting summaries with industry-leading accuracy.

The AI Incubation team is a high-impact applied research group, operating at the frontier of LLM posttraining, agentic AI, and multimodal understanding. With millions of clinical visits taking place over Zoom monthly, we sit at a unique intersection of communication, patient data, and care delivery.
 

Responsibilities

  • Conducting frontier research in clinical decision support and related domains, developing models that integrate and reason over diverse data sources (ie. structured records, free-text, multimodal signals).

  • Designing and building AI agents that execute complex, high-reliability workflows with compliance and safety requirements.

  • Developing multimodal architectures and post-training strategies that enable robust understanding across structured and unstructured data — including text, audio, and imaging modalities.

  • Advancing LLM post-training, reinforcement learning, and alignment techniques to ensure accuracy, safety, and trustworthiness in high-stakes contexts.

  • Developing evaluation and benchmarking frameworks for AI systems, measuring accuracy, safety, fairness, and real-world utility.

  • Partnering with product and infrastructure teams to translate research prototypes into scalable, production-grade healthcare AI systems.

  • Exploring emerging AI paradigms, from agentic reasoning and self-improving systems to federated learning for privacy-preserving intelligence.


What we're looking for

  • Have a PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • Hold a publication or open-source record demonstrating innovation in LLM optimization, multimodal AI, agentic intelligence, or biomedical AI.

  • Have experience translating AI research into practical applications that serve end users.

  • Demonstrate proven expertise in LLM post-training, RLHF/DPO/PPO, federated learning, or reinforcement learning for reasoning and alignment, multimodal learning, or agentic AI systems.

  • Have deep understanding of large-scale distributed training systems and experience with PyTorch, Transformers, DeepSpeed, or CUDA.

  • Have experience designing evaluation processes including A/B testing, randomized trials, safety testing.

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.

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.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

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.

Think of this opportunity as a marathon, not a sprint! We're building a strong team at Zoom, and we're looking for talented individuals to join us for the long haul. No need to rush your application – take your time to ensure it's a good fit for your career goals. We continuously review applications, so submit yours whenever you're ready to take the next step.

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.

HQ

Zoom San Jose, California, USA Office

55 Almaden Blvd, San Jose, CA, United States, 95113

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