Zoom is seeking an innovative AI research leader to drive the next wave of LLM post-training, reinforcement learning, and federated AI innovation, aiming to redefine human-AI collaboration and power the next generation of Zoom AI Companion experiences.
Requirements
- 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.
- Have experience leading AI research teams and delivering impactful, production-ready AI solutions.
Responsibilities
- Leading new research and development in LLM post-training, reinforcement learning, and federated AI to achieve state-of-the-art reasoning, personalization, and reliability.
- Designing and implementing advanced evaluation and benchmarking frameworks for model performance, safety, and user experience across distributed environments.
- Driving strategic decision-making on 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.
- Mentoring and growing a world-class team of researchers and engineers, fostering a culture of scientific rigor, creativity, and rapid experimentation.
- Identifying and incubating emerging AI paradigms—from agentic reasoning and multimodal fusion to self-improving federated systems.
Other
- Have a PhD or advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Demonstrate passion for applied AI research that bridges scientific discovery and real-world impact.
- Structured hybrid approach is centered around our offices and remote work environments.
- If you require an accommodation during the hiring process, let us know—we’re here to support you at every step.
