Research Scientist - AI Incubation
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Upload Your ResumeAbout This Role
Join Zoom's AI Incubation team as a Research Scientist to develop groundbreaking advancements in LLM post-training, reinforcement learning, and federated AI, contributing to the next generation of Zoom AI Companion.
Responsibilities
- Conduct frontier research in LLM post-training, reinforcement learning, and federated AI
- Develop and implement evaluation and benchmarking frameworks for model performance, safety, and user experience
- Contribute to model architectures, fine-tuning strategies, and reinforcement learning pipelines across Zoom's federated AI ecosystem
- Partner with product and infra teams to translate research prototypes into scalable, production-grade AI systems
- Participate in a culture of scientific rigor, creativity, and rapid experimentation
- Explore emerging AI paradigms from agentic reasoning and multimodal fusion to self-improving federated systems
Requirements
- Proven expertise in LLM post-training, RLHF/DPO/PPO, federated learning, or reinforcement learning for reasoning and alignment
- Deep understanding of large-scale distributed training systems
- Experience with PyTorch, Transformers, DeepSpeed, or CUDA
- Publication or open-source record demonstrating innovation in LLM optimization, federated AI, or agentic intelligence
- Passion for applied AI research that bridges scientific discovery and real-world impact
- Experience implementing AI research concepts and translating them into practical applications
Qualifications
- PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
Skills
* Required skills
Benefits
About Zoom
Zoomies help people stay connected so they can get more done together, building the best collaboration platform for the enterprise with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.