Disney Entertainment and ESPN Product & Technology is seeking a Senior Machine Learning Engineer to join their content recommendations team. This role sits at the intersection of technology and creativity, working on one of the world's most prominent streaming platforms - Disney+.
As a Senior Machine Learning Engineer, you'll be responsible for leading recommendation and personalization algorithm research, development, and optimization for various product areas. You'll work closely with Product, Engineering, and Editorial teams to coordinate requirements and manage stakeholder expectations. The role involves helping meet KPIs for product areas and setting/meeting deadlines for external and internal tools, including offline evaluation tools for pre-production algorithms.
The position offers an exciting opportunity to work with petabyte-scale datasets and implement cutting-edge machine learning methods for personalization and recommendation systems. You'll be developing and maintaining ETL pipelines using modern tools like Airflow and Jenkins, while also working with streaming technologies such as Kafka and Spark.
Disney offers a competitive compensation package, with the hiring range varying by location:
The role comes with comprehensive benefits including medical coverage, bonus potential, and long-term incentives. You'll be joining a global organization of engineers, product developers, and technologists who are building the future of Disney's media platforms.
This is an excellent opportunity for someone with strong machine learning expertise who wants to impact how millions of users discover and engage with content on Disney+. You'll be working on problems at scale, with access to vast amounts of data and the latest technologies, while helping shape the future of content personalization at one of the world's leading entertainment companies.
The ideal candidate will have 5+ years of experience developing machine learning models, strong coding skills in Python/Scala, and experience with cloud technologies and big data solutions. If you're passionate about applying ML to solve real-world problems and want to be part of the team that's revolutionizing how people consume entertainment, this role offers the perfect blend of technical challenge and creative impact.