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Senior Principal Machine Learning Engineer

The Walt Disney Company is a global entertainment and media enterprise, pioneering in streaming, entertainment, and sports technology.
$223,700 - $328,600
Machine Learning
Principal Software Engineer
Hybrid
5,000+ Employees
12+ years of experience
AI · Entertainment

Description For Senior Principal Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology is seeking a Senior Principal Machine Learning Engineer to revolutionize personalization across their major platforms including Disney+, Hulu, ABC, and ESPN. This role represents a unique opportunity to shape the future of content recommendations at one of the world's largest entertainment companies.

As a Senior Principal Machine Learning Engineer, you'll be at the forefront of developing and implementing cutting-edge machine learning solutions that impact hundreds of millions of users globally. The position combines deep technical expertise with strategic leadership, requiring both hands-on engineering skills and the ability to influence company-wide technology decisions.

The role involves architecting and building scalable recommendation systems that enhance user experiences across Disney's diverse content platforms. You'll work with state-of-the-art machine learning technologies, including deep learning frameworks like TensorFlow and PyTorch, while managing complex data pipelines and cloud infrastructure on AWS.

This is an exceptional opportunity for a seasoned machine learning expert with 12+ years of experience who wants to make a significant impact in the entertainment industry. You'll collaborate with executive leadership across Engineering, Product, and Data teams, helping to align technical innovations with business objectives. The position offers competitive compensation ranging from $223,700 to $328,600 depending on location and experience.

The ideal candidate will have a proven track record in developing recommendation systems at scale, strong research credentials, and exceptional leadership skills. You'll be responsible for mentoring other technical leaders and fostering a culture of innovation while solving complex challenges in content personalization.

Working at Disney Entertainment & ESPN Technology means being part of a team that's reimagining how millions of people experience entertainment. You'll have the opportunity to work on products that shape industry norms and enhance how audiences experience sports, entertainment, and news.

The position offers a hybrid work arrangement, primarily based on-site with occasional remote work opportunities. Located in major tech hubs including Seattle, San Francisco, Los Angeles, and New York, this role provides the chance to work in some of the most dynamic cities in the technology sector.

If you're passionate about machine learning, have a strong technical background, and want to be part of shaping the future of personalized entertainment, this role offers the perfect blend of technical challenges, strategic influence, and industry impact.

Last updated 19 hours ago

Responsibilities For Senior Principal Machine Learning Engineer

  • Define and drive long-term technical vision for personalization and recommendation systems
  • Lead development of foundational machine learning architectures and algorithms
  • Partner with senior executives to influence company-wide personalization strategy
  • Identify and drive high-impact machine learning initiatives
  • Mentor and elevate technical leaders across teams
  • Set standards for experimentation, model evaluation, and algorithm fairness
  • Represent Disney Streaming's personalization efforts in strategic forums

Requirements For Senior Principal Machine Learning Engineer

Python
  • Track record of research & publications in recommendation system domain
  • Strong proficiency in TensorFlow or PyTorch
  • Experience building and deploying full stack ML pipelines
  • Track record of designing effective recommendation systems
  • Experience with cloud services (particularly AWS)
  • Understanding of statistical concepts
  • 12+ years of relevant experience
  • Bachelor's degree in Computer Science or related field

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