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Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology creates magical viewing experiences and transforms Disney's media business through streaming, digital products, and content delivery.
$167,700 - $246,400
Machine Learning
Staff Software Engineer
Hybrid
5,000+ Employees
7+ years of experience
AI · Entertainment

Description For Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to join their innovative team focused on transforming Disney's media business through advanced ML solutions. This role sits within the ML Platform team, building critical infrastructure that powers Disney's streaming services including Disney+ and Hulu.

The position offers an opportunity to work on large-scale ML systems that impact millions of users daily. You'll be responsible for developing and maintaining the ML platform that enables model training, inference, and deployment across various domains including personalization, recommendations, fraud prevention, and capacity planning.

As a Lead ML Engineer, you'll work with petabyte-scale datasets, building robust data pipelines and feature engineering systems. The role combines technical leadership with hands-on development, requiring expertise in ML technologies like TensorFlow, Kubeflow, and PyTorch, as well as big data tools like Databricks and AWS SageMaker.

The ideal candidate brings 7+ years of programming experience, strong system design skills, and the ability to mentor team members. You'll collaborate across functions with researchers, product managers, and other engineers to drive innovation in how Disney delivers entertainment content.

This is a unique opportunity to shape the future of digital entertainment while working with cutting-edge ML technologies at massive scale. The role offers competitive compensation ranging from $167,700 to $246,400 depending on location, plus comprehensive benefits and the chance to work on products that reach hundreds of millions of users worldwide.

Last updated 2 days ago

Responsibilities For Lead Machine Learning Engineer

  • Lead the enhancement and development of machine learning platform
  • Develop and maintain ETL pipelines using Airflow and Jenkins
  • Deploy scalable streaming and batch data pipelines
  • Maintain existing standards and drive platform feature development
  • Collaborate with researchers, program managers, and product managers
  • Mentor and guide team members

Requirements For Lead Machine Learning Engineer

Python
Java
Scala
Kubernetes
  • 7+ years of professional programming and design experience in Java, Python, Scala
  • Bachelor's Degree in Computer Science or related field
  • Strong experience with ML technologies (TensorFlow, Kubeflow, PyTorch)
  • Experience with big data processing technologies
  • Strong knowledge of system/application design and architecture
  • Experience deploying and maintaining pipelines (AWS, Docker, Airflow)
  • Strong written and verbal communication skills

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