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Zoom is seeking a Research Scientist for their AI Incubation team to advance their applied AI research, focusing on LLM post-training, reinforcement learning, and federated AI innovations. The role involves conducting high-impact research and transforming bold ideas into scalable AI systems, contributing to the development of the next generation of Zoom's AI Companion.
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Job Summary
The role focuses on advancing Zoom's applied AI research through cutting-edge LLM post-training, reinforcement learning, and federated AI innovation.
Candidates will develop evaluation frameworks and translate research prototypes into scalable, production-grade AI systems leveraging edge and cloud collaboration.
Zoom offers a structured hybrid work environment with comprehensive benefits designed to support physical, mental, and financial health.
Matching Summary
Match Score: 75
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Zoom is seeking a Research Scientist for their AI Incubation team to advance their applied AI research, focusing on LLM post-training, reinforcement learning, and federated AI innovations. The role involves conducting high-impact research and transforming bold ideas into scalable AI systems, contributing to the development of the next generation of Zoom's AI Companion.
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Salary
Base: $137,700.00 - $275,400.00; Bonus/Equity: Included in Total Direct Compensation; Benefits: Comprehensive perks for health and work-life balance
Skills & Requirements
Must-have
PhD in Computer Science or related field
Expertise in LLM post-training and RLHF
Experience with federated learning systems
Proficiency in PyTorch, Transformers, DeepSpeed
Strong background in reinforcement learning
Nice-to-have
Publication record in AI optimization
Open-source contributions to agentic intelligence
Passion for bridging research and production
Experience with multimodal understanding
Ability to work in a fast-paced culture
Key Requirements
PhD or advanced degree required
Proven expertise in LLM post-training and RLHF/DPO
Deep understanding of large-scale distributed training