Platform Engineer, MLOps

Overview

Role involves deploying and managing infrastructure for AI/ML operations and collaborating with engineers to develop CI/CD pipelines.

Ideal candidate has professional experience with model training and large-scale ML systems, and is skilled in troubleshooting complex systems.

Locations

• United States, California, San Francisco

Requirements

• 5+ years building core infrastructure
• Experience running inference clusters at scale
• Experience operating orchestration systems such as Kubernetes at scale

Responsibilities

• Design and deploy CI/CD pipeline
• Manage monitoring, logging, and alerting systems
• Ensure training environments are available
• Develop containerization and orchestration systems
• Operate large Kubernetes clusters
• Improve software solutions reliability
• Measure and optimize system performance
• Provide operational support for software applications

Benefits

• Generous PTO
• Medical, dental, and vision coverage
• Paid parental leave
• Fertility and family planning support
• Flexible spending account
• Health savings account
• Annual work-life stipends
• Company stock options