Senior Machine Learning Engineer

Position:
Sr. Machine Learning Engineer - AI

Company:
Zoom Communications, Inc.

Compensation:
Minimum: $157,440.00
Maximum: $236,200.00

Location:
United States, Seattle, Washington

Employment type:
Full time

Work Arrangement:
Telecommuting work arrangement permitted

Short Summary:
We are seeking a highly skilled and motivated Machine Learning Engineer to join our team and play a key role in developing and maintaining our knowledge graph service.

Responsibilities:
- Architect and optimize large-scale Machine Learning workflows to process structured and unstructured data for knowledge graphs and search services
- Deploy, monitor, and maintain machine learning models (LLMs and agentic workflows) in a microservice environment using Docker, Kubernetes (AWS EKS), and internal platforms (ZCP)
- Collaborate with cross-functional teams of engineers, product managers, and domain experts to define requirements and implement scalable, production-ready Machine Learning services
- Maintain comprehensive documentation for all AI search systems, workflows, and services using Confluence, Zoom Docs, and LucidChart
- Develop business logic for routing requests to Machine Learning models and managing feature stores
- Implement advanced authentication and security mechanisms for Machine Learning pipelines
- Conduct research on cutting-edge Machine Learning, NLP, and knowledge graph techniques
- Mentor junior engineers and contribute to team knowledge-sharing, best practices, and internal technical guidelines

Requirement:
- Requires a bachelor’s degree in computer science, Communications Engineering, a related field, or a foreign degree equivalent
- Must have 3 years of experience in the following:
- Design, development, and deployment of document understanding and processing pipelines
- Deploy, monitor, and maintain machine learning models in a microservice environment
- Evaluating external data sources to enhance AI search/document understanding
- Developing performance metrics, monitoring systems, and optimizations for AI search pipelines
- Design and maintaining data ingestion, preprocessing, and transformation pipelines
- Collaborating with cross-functional teams to implement scalable, production-ready ML services
- Optimizing knowledge graph algorithms for performance, scalability, and reliability

Benefits:
As part of our award-winning workplace culture, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.