Research Scientist - AI Incubation

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.

About The Role

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.

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.

Qualifications

• 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.

Pay

Minimum Salary Range or On Target Earnings: $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.

Schedule

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.