Lead Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to spearhead security and operation anomaly detection initiatives within the Commerce, Data, and Identity Alliance. This role offers an exciting opportunity to work with one of the world's leading entertainment companies, focusing on developing and deploying machine learning models that enhance service security.

The position is based in multiple major tech hubs including New York and Santa Monica, offering flexibility while working on critical security challenges in the streaming industry. As a key leader, you'll drive ML initiatives across teams, working with commerce, growth, and identity departments to implement sophisticated machine learning solutions.

The role combines technical expertise with leadership responsibilities, requiring both deep ML knowledge and the ability to mentor teams. You'll be working with cutting-edge technologies and frameworks, managing the full lifecycle of ML development from data collection to production deployment. The position offers competitive compensation ranging from $175,800 to $246,400 depending on location, plus additional benefits and bonus potential.

This is an excellent opportunity for an experienced ML professional looking to make a significant impact in a company that reaches millions of users globally through platforms like Disney+, Hulu, ESPN, and ABC. You'll be at the forefront of developing innovative solutions to complex security challenges while working with world-class teams in a company known for its technological innovation and creative excellence.

The role requires a strong technical foundation in machine learning, statistics, and programming, combined with excellent communication skills to translate complex technical concepts for various stakeholders. You'll have the chance to work on large-scale projects that directly impact the security and reliability of Disney's digital services while contributing to the company's continued technological advancement in the media and entertainment industry.