Disney Entertainment & ESPN Technology is seeking a Senior Machine Learning Engineer to join their innovative team. This role offers an exciting opportunity to work at the intersection of entertainment and technology, helping to reimagine how magical viewing experiences are created for millions of viewers worldwide.
The position involves leading and driving ML applications across various engineering domains, working with cross-functional teams to implement data-driven solutions for challenges like demand forecasting, capacity planning, and fraud prevention. You'll be responsible for architecting and building end-to-end ML models while serving as a thought partner to stakeholders.
The role offers competitive compensation ranging from $138,900 to $203,900 depending on location and experience, plus comprehensive benefits including medical coverage and bonus opportunities. You'll be part of a team that powers worldwide advertising and distribution, working on products like Disney+, Hulu, ABC News, and ESPN that reach millions of consumers daily.
Key responsibilities include conducting data exploration, providing ML consultancy, and maintaining a culture of innovation and experimentation. The ideal candidate will have 5+ years of data science experience, strong mathematical skills, and expertise in machine learning algorithms.
Working at Disney Entertainment & ESPN Technology means contributing to the technological backbone of Disney's media business units while helping keep the company at the forefront of innovation. You'll be part of a team that enables the company to leverage technology for enhanced storytelling and creativity while delivering scalability and efficiency.
This is an excellent opportunity for someone passionate about machine learning and entertainment technology to make a significant impact at one of the world's most renowned entertainment companies. The role offers the chance to work on meaningful projects that affect millions of users while being part of a company with a rich legacy of creating world-class stories and experiences.