Taro Logo

Lead Machine Learning Engineer - Personalization

Disney Entertainment and ESPN Product & Technology is a global organization building and advancing the technological backbone for Disney's media business globally.
$172,300 - $246,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Entertainment

Description For 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 sits at the intersection of technology and creativity, working on the technological backbone of Disney's global media business. The position involves 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 responsible for leading the research, development, deployment, and optimization of recommendation and personalization algorithms across various product surfaces. You'll work closely with Engineering, Product, and Data teams to apply advanced machine learning techniques in support of strategic personalization initiatives. This is an Individual Contributor role with a focus on content recommendations, requiring both technical expertise and leadership skills.

The role offers unique opportunities to impact millions of users worldwide through Disney's prestigious media portfolio. You'll be working with cutting-edge technology while helping shape the future of personalization at one of the world's largest entertainment companies. The position requires expertise in deep learning frameworks, production-level Python programming, and scalable machine learning systems.

The ideal candidate will have 7+ years of experience in developing highly scalable machine learning products, strong proficiency in deep learning frameworks like TensorFlow or PyTorch, and a proven track record in designing and implementing recommendation systems at scale. You'll be working in a hybrid environment with opportunities to collaborate across multiple locations including San Francisco, Seattle, and New York.

This role offers competitive compensation ranging from $172,300 to $246,400 depending on location, plus potential bonuses and comprehensive benefits. Join Disney's technology team to help advance the technological foundation and consumer media touch points serving millions of people around the world.

Last updated 2 days ago

Responsibilities For Lead Machine Learning Engineer - Personalization

  • Develop and prototype state-of-the-art Deep Neural Net algorithms for recommendation systems
  • Deliver conceptual solutions into production-level implementation & operation at scale
  • Learn and understand complex streaming recommendation systems and architecture
  • Identify opportunities to improve business operations and develop solutions
  • Drive business decisions through data-driven approach
  • Provide technical leadership to guide a team of engineers
  • Work collaboratively with peers to achieve goals with deadlines

Requirements For Lead Machine Learning Engineer - Personalization

Python
  • Strong proficiency in TensorFlow or PyTorch
  • Experience building and deploying full stack ML pipelines
  • Track record of designing and implementing effective recommendation systems
  • Experience with cloud services in production environment (particularly AWS)
  • Understanding of statistical concepts
  • Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering
  • 7+ years of experience in developing highly scalable machine learning products
  • 7+ years writing production-level, scalable Python code

Interested in this job?

Jobs Related To Disney Lead Machine Learning Engineer - Personalization