Disney Entertainment and ESPN Product & Technology is seeking a Lead Machine Learning Engineer to join their innovative team. This role sits at the intersection of technology and creativity, focusing on developing and maintaining state-of-the-art recommendation and personalization algorithms that serve hundreds of millions of users across Disney+, Hulu, ABC, and ESPN.
As a Lead Machine Learning Engineer, you'll be working on the technological backbone of Disney's media business globally. The role involves collaborating with Engineering, Product, and Data teams to apply advanced machine learning techniques for strategic personalization initiatives. You'll be responsible for leading the research, development, deployment, and optimization of recommendation algorithms across various product surfaces.
The position offers an opportunity to work with world-class products and platforms that reach millions of consumers daily. You'll be part of a team that's reimagining ways to create magical viewing experiences while transforming Disney's media business for the future. The work involves developing Deep Neural Net algorithms, implementing solutions at scale, and driving business decisions through data-driven approaches.
This role requires a strong technical background with at least 7 years of experience in developing scalable machine learning products and Python programming. The ideal candidate will have expertise in deep learning frameworks, experience with cloud services (particularly AWS), and a proven track record in designing and implementing recommendation systems. The position offers competitive compensation ranging from $164,500 to $246,400 depending on location and experience.
Working at Disney Entertainment & ESPN Technology means being part of an organization that values innovation and is at the forefront of technological advancement in the entertainment industry. You'll have the opportunity to shape industry norms and enhance how audiences experience sports, entertainment & news while working with some of the most beloved brands in entertainment.