Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is a global organization at the heart of Disney's media business. As a Lead Machine Learning Engineer in the Commerce, Data, and Identity Alliance, you'll drive security and operation anomaly detection initiatives. This role offers an opportunity to develop and deploy machine learning models that help reduce security and operation risk for Disney's services.

You'll be working with teams across commerce, growth, and identity to leverage machine learning solutions that enhance the security posture of services. Based out of New York or Santa Monica offices, you'll be a key leader driving ML initiatives across the team while learning about various security challenges in a streaming organization.

The role combines technical expertise in machine learning with security focus, requiring both deep technical knowledge and leadership skills. You'll be responsible for the full ML lifecycle, from data collection to production deployment, while working closely with cross-functional teams to ensure robust implementation and measurable impact.

Disney Entertainment and ESPN Product & Technology offers an exciting environment where technology meets creativity. The team builds world-class products, enhances storytelling, and drives innovation for Disney's media business globally. You'll be part of an organization that serves millions of people worldwide through major brands like Disney+, Hulu, ESPN, ABC, and ABC News.

The position offers competitive compensation with a salary range of $175,800 to $246,400 per year (varying by location), plus potential bonuses and long-term incentives. You'll also receive comprehensive benefits including medical, financial, and other benefits packages.

This is an opportunity to work on cutting-edge machine learning applications in security while contributing to the technological foundation of one of the world's leading entertainment companies. You'll be able to make a significant impact on protecting and improving services that reach millions of users globally while working with innovative teams and advanced technologies.