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Lead Machine Learning Engineer

The Walt Disney Company is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences.
$164,500 - $246,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Entertainment

Description For Lead Machine Learning Engineer

Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more – all working to build and advance the technological backbone for Disney's media business globally.

Our team develops and maintains 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 will collaborate 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 focused on content recommendations.

You will lead the research, development, deployment, and optimization of recommendation and personalization algorithms across product surfaces. You will play a critical role in aligning technical solutions with stakeholder requirements and expectations, partnering with Product, Engineering, and Editorial teams. Beyond execution, you will help define the roadmap for algorithmic innovation—shaping approaches to feature development and contributing to broader company goals in the personalization and recommendation space.

The role offers the opportunity to work on recommendation systems at massive scale, serving hundreds of millions of users across major entertainment platforms. You'll be at the forefront of applying cutting-edge deep learning techniques to solve real-world content recommendation challenges. The position combines technical leadership with hands-on development, allowing you to both guide technical direction and implement solutions.

Working at Disney Entertainment & ESPN Technology means being part of reimagining how people experience the world's most beloved stories. You'll be joining a team that powers worldwide advertising and distribution while delivering unmatched entertainment and sports content. The role offers competitive compensation, comprehensive benefits, and the chance to innovate at the intersection of technology and entertainment.

This is an excellent opportunity for an experienced machine learning engineer who wants to make a significant impact on how millions of people discover and engage with content across Disney's entertainment platforms.

Last updated 2 days ago

Responsibilities For Lead Machine Learning Engineer

  • Developing and prototyping state-of-the-art Deep Neural Net algorithms for recommendation systems
  • Deliver conceptual solutions into production-level implementation & operation at scale
  • Learn complex streaming recommendation systems and understand overall framework/architecture
  • Identify impactful opportunities to improve business operations
  • Drive business decisions by data driven approach
  • Technically guide a team of engineers
  • Work collaboratively with peers to achieve goals with deadline

Requirements For Lead Machine Learning Engineer

Python
  • Strong proficiency in deep learning frameworks (tensorflow, pytorch)
  • Experience building and deploying full stack ML pipelines
  • Track record from design to production of effective recommendation systems
  • Experience with cloud services in production environment (AWS)
  • Understanding of statistical concepts
  • 7+ years of experience in developing highly scalable machine learning products
  • 7+ years writing production-level, scalable Python codes
  • Bachelor's degree in Computer Science or related field

Benefits For Lead Machine Learning Engineer

Medical Insurance
401k
Equity
  • Full range of medical benefits
  • Bonus opportunities
  • Long-term incentive units

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