Zoom Video Communications is seeking an experienced Machine Learning Engineer specializing in Large Language Models (LLMs), autonomous agents, and agentic AI to join their dynamic AI team. The goal is to design, develop, and deploy intelligent agent systems capable of understanding complex contexts, making autonomous decisions, and executing sophisticated tasks across the Zoom platform, thereby revolutionizing communication and collaboration through AI-driven innovations.
Requirements
- Expertise in natural language processing (NLP) and transformer architectures
- Proven experience with production-level machine learning systems
- Strong programming skills in Python or Java
- Hands-on experience with deep learning frameworks such as PyTorch, Transformers, and LangChain
- Knowledge of cloud infrastructure and deployment tools including Kubernetes, Docker, and AWS
- Experience developing and optimizing large language models like GPT-4, Claude, or internal models
- Ability to design and implement scalable, low-latency AI solutions
Responsibilities
- Design and implement agent architectures capable of reasoning, planning, and executing complex tasks
- Develop prompt engineering frameworks and techniques to ensure reliable and consistent agent behavior
- Implement safety mechanisms and oversight protocols to manage autonomous systems responsibly
- Build and maintain LLM-powered services, leveraging models such as GPT-4, Claude, and internal AI models
- Optimize AI infrastructure for low latency and high throughput to ensure seamless user experiences
- Create and maintain robust testing frameworks for validating agent behavior and system performance
- Collaborate with product teams to integrate AI solutions into various Zoom products and features
Other
- 5+ years of experience in machine learning engineering
- Strong problem-solving skills and a collaborative mindset
- Flexible hybrid work environment with options for remote work
