Develop intelligent agents that perceive, reason, and act in dynamic environments as part of Zoom AI Companion (AIC) to impact workplace efficiency and customer engagement in Zoom Revenue Accelerator (ZRA), Zoom Customer Experience (ZCX) and Zoom Workplace.
Requirements
- Show an understanding of machine learning algorithms, neural networks, reinforcement learning, cognitive architectures, and multi-modality including speech and vision
- Exhibit development skills in programming languages such as Python, C++, or Java, and experience with AI frameworks and libraries (e.g., PyTorch)
Responsibilities
- Conducting cutting-edge research in the field of Agentic AI, focusing on developing autonomous agents that can learn and adapt in complex environments.
- Designing, implementing, and evaluating novel algorithms for perception, reasoning, decision-making, and learning to improve Zoom’s user experience.
- Developing AI solutions that enhance meeting experiences and enable seamless human-machine natural interactions within Zoom.
- Applying large language models (LLM) and Agentic AI frameworks to real production scenarios, fundamentally changing how humans communicate and collaborate during work and daily life.
- Collaborating with cross-functional teams to integrate Agentic AI solutions into Zoom’s real-world applications and products.
- Mentoring and providing guidance to junior researchers and team members.
Other
- 5+ years of relevant experience in applied research and/or machine learning
- Utilize problem-solving skills and the ability to think creatively and critically about complex problems
- Communicate and collaborate with the ability to work effectively in a team-oriented environment
