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Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology creates magical viewing experiences for the world's most beloved stories while transforming Disney's media business for the future.
$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 at the forefront of transforming Disney's media business through innovative technology solutions. As a Lead Machine Learning Engineer, you'll join a team dedicated to building and maintaining sophisticated ML platforms that power various aspects of Disney's streaming services.

The role involves working with the ML Platform team to develop interfaces, tooling, and services for ML model development and deployment. You'll be responsible for managing high-availability, low-latency production systems and building event-driven ML pipelines. A key aspect of the position is maintaining and expanding the central feature store that drives critical ML use cases in recommendations, search, and fraud detection.

The position offers an opportunity to work on cutting-edge ML infrastructure at massive scale, supporting products that reach millions of consumers daily through platforms like Disney+, Hulu, ABC News, and ESPN+. You'll be part of a team that's reimagining how to create magical viewing experiences while handling petabyte-scale datasets.

The role requires deep expertise in ML technologies, big data processing, and system architecture. You'll collaborate with cross-functional teams, mentor other engineers, and drive technical innovation. The position offers competitive compensation ranging from $167,700 to $246,400 depending on location and experience, plus potential bonuses and comprehensive benefits.

This is an excellent opportunity for an experienced ML engineer looking to make a significant impact at one of the world's leading entertainment companies, working on projects that shape how millions of people consume media content.

Last updated a day ago

Responsibilities For Lead Machine Learning Engineer

  • Lead the enhancement or development of a machine learning platform
  • Develop and maintain ETL pipelines using orchestration tools
  • Deploy scalable streaming and batch data pipelines
  • Maintain existing standards and drive development of new platform features
  • 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 quantitative 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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