Lead Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to join their Personalization team. This role is crucial in developing and maintaining state-of-the-art recommendation algorithms serving hundreds of millions of users across Disney+, Hulu, ABC, and ESPN platforms.

The position offers an exciting opportunity to work at the intersection of technology and entertainment, building the future of Disney's media platforms. As a key member of the team, you'll be responsible for leading the research, development, and deployment of recommendation systems that directly impact user experience across major streaming platforms.

The role combines technical expertise in machine learning with leadership responsibilities, requiring both deep technical knowledge and the ability to guide teams and collaborate with stakeholders. You'll be working with cutting-edge technologies and frameworks like TensorFlow and PyTorch, while handling large-scale deployment challenges using cloud services.

This is an excellent opportunity for experienced machine learning engineers who want to make a significant impact at scale. The position offers competitive compensation ($172,300-$246,400 depending on location) and the chance to work with world-class entertainment brands. The hybrid work environment provides flexibility while maintaining collaborative opportunities.

The ideal candidate will bring 7+ years of experience in machine learning and Python development, with a strong background in recommendation systems and a track record of delivering production-level implementations at scale. If you're passionate about combining technical innovation with entertainment and want to shape the future of content personalization at one of the world's leading media companies, this role offers an exceptional opportunity.