Research Scientist - AI Incubation

Zoom • San Jose, CA

7d • $137,700 - $275,400 • Hybrid

About The Position

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.

Requirements

• 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.

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.

Benefits

• award-winning workplace culture
• commitment to delivering happiness
• variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health
• support work-life balance
• contribute to their community in meaningful ways

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree