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Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology reimagines 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 · Enterprise SaaS · Entertainment

Description For Lead Machine Learning Engineer

Disney Entertainment & ESPN Technology is seeking a Lead Machine Learning Engineer to join their innovative team. This role sits at the intersection of machine learning infrastructure and large-scale production systems, working on platforms that serve millions of users across Disney+, Hulu, ABC News, and ESPN.

The position involves leading the ML Platform team that builds and maintains critical infrastructure for machine learning operations across Disney's streaming services. You'll be responsible for developing interfaces, tooling, and services for ML model development and deployment, managing high-availability production systems, and expanding the central feature store that powers use cases in recommendations, search, and fraud detection.

The ideal candidate will bring 7+ years of programming experience and deep expertise in machine learning technologies. You'll work with cutting-edge tools and technologies including TensorFlow, Kubeflow, PyTorch, and AWS SageMaker, while handling petabyte-scale datasets. The role offers competitive compensation ranging from $167,700 to $246,400 depending on location and experience, plus comprehensive benefits including medical coverage and bonus potential.

This is an opportunity to shape the future of Disney's media business, working on products that reach hundreds of millions of users worldwide. You'll collaborate with cross-functional teams, mentor other engineers, and drive innovation in how audiences experience sports, entertainment, and news. The position offers hybrid work arrangements across multiple prestigious locations including New York, San Francisco, Seattle, and Santa Monica.

If you're passionate about machine learning, scalable systems, and want to be part of transforming how the world consumes entertainment, this role offers the perfect blend of technical challenge and real-world impact at one of the world's most beloved entertainment companies.

Last updated 18 hours 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' professional development

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

Benefits For Lead Machine Learning Engineer

Medical Insurance
  • Medical benefits
  • Financial benefits
  • Bonus potential
  • Long-term incentive units

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