Machine Learning Engineer

• Design and lead development of core components of the machine learning platform with focus on scalability, reliability, and cloud-agnostic principles
• Build APIs and microservices that power end-to-end machine learning workflows, including model deployment, orchestration, and observability
• Collaborate with content protection and security teams to ensure robust access controls and compliance
• Own cloud infrastructure and CI/CD automation using Infrastructure-as-Code (IaC) principles
• Champion engineering excellence through well-tested code, clear documentation, and continuous improvement of development and deployment practices
• Establish and enforce best practices in testing, code quality, and monitoring for ML pipeline components
• Work closely with Video AI engineers and product managers to support use cases like scene segmentation, video annotation, clip generation, and metadata enrichment

Staff Software Engineer, Machine Learning

Senior Software Engineer – AI Infrastructure

AI Engineer – Early Career

AI Engineer Internship

Artificial Intelligence Engineer – Intern

AI Engineer