Lead Machine Learning Engineer - ESPN+ Personalization

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to spearhead the development of ESPN+'s next-generation personalization system. This role combines cutting-edge machine learning expertise with large-scale software engineering to build recommendation systems that will serve millions of users.

The position offers an opportunity to work at the intersection of technology and entertainment, building the future of Disney's media platforms. As a Lead ML Engineer, you'll be responsible for designing and implementing sophisticated recommendation systems for video content, working with state-of-the-art ML technologies and frameworks.

The role involves leading technical design and delivery of key subsystems, including modeling, data pipelines, and real-time serving infrastructure. You'll be working with modern ML frameworks, cloud platforms, and distributed systems to create scalable solutions that power personalized experiences for ESPN+ users.

This is an ideal opportunity for an experienced ML engineer who wants to make a significant impact at scale. You'll be working with a world-class team, mentoring other engineers, and helping to establish technical standards and best practices. The position offers competitive compensation ($172,300-$246,400 depending on location) and comprehensive benefits.

The role combines technical leadership with hands-on development, requiring both deep ML expertise and strong software engineering skills. You'll be working on challenging problems in real-time recommendation, dealing with large-scale data, and implementing sophisticated ML models while ensuring high performance and reliability.

Working at Disney means being part of a company with unmatched reach and impact in the entertainment industry. You'll be contributing to products that millions of people use daily, while working with cutting-edge technology in a collaborative environment that values innovation and creativity.