Research Scientist - AI Incubation

ZoomSan Jose, CA
$137,700 - $275,400Hybrid

About The Position

Zoom's AI Incubation team is seeking a Research Scientist to contribute to the next wave of LLM post-training, reinforcement learning, and federated AI innovation. You will join a world-class group of PhDs and applied scientists focused on pushing the boundaries of model alignment, reasoning, and agentic intelligence. As a Research Scientist, you will advance Zoom's applied AI research, working with cutting-edge LLM post-training, RLHF/DPO/RLAIF, federated AI, and multimodal intelligence to deliver breakthroughs that redefine human-AI collaboration. You will participate in incubation efforts that transform bold research ideas into scalable, production-ready systems powering the next generation of Zoom AI Companion.

Requirements

  • Have a PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Demonstrate proven expertise in LLM post-training, RLHF/DPO/PPO, federated learning, or reinforcement learning for reasoning and alignment.
  • Have deep understanding of large-scale distributed training systems and experience with PyTorch, Transformers, DeepSpeed, or CUDA.
  • Hold a publication or open-source record demonstrating innovation in LLM optimization, federated AI, or agentic intelligence.
  • Demonstrate passion for applied AI research that bridges scientific discovery and real-world impact.
  • Have experience implementing AI research concepts and translating them into practical applications.

Responsibilities

  • Conducting frontier research in LLM post-training, reinforcement learning, and federated AI to achieve state-of-the-art reasoning, personalization, and reliability.
  • Developing and implementing evaluation and benchmarking frameworks for model performance, safety, and user experience across distributed environments.
  • Contributing to model architectures, fine-tuning strategies, and reinforcement learning pipelines across Zoom's federated AI ecosystem.
  • Partnering with product and infra teams to translate research prototypes into scalable, production-grade AI systems that leverage edge and cloud collaboration.
  • Participating in a culture of scientific rigor, creativity, and rapid experimentation.
  • Exploring emerging AI paradigms—from agentic reasoning and multimodal fusion to self-improving federated systems—to continuously advance Zoom's AI frontier.

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
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