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Principal Machine Learning Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: The Walt Disney Company
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 221000 - 296000 USD Yearly USD 221000.00 296000.00 YEAR
Job Description & How to Apply Below
Job Requirements

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.

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. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses.

We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Here are a few reasons why we think you’d love working here:

  • Building the future of Disney’s media:
    Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
  • Reach, Scale & Impact:
    More than ever, Disney’s technology and products serve as a signature doorway for fans' connections with the company’s brands and stories. Disney+. Hulu. ESPN. ABC. ABC News…and many more. These products and brands – and the unmatched stories, storytellers, and events they carry – matter to millions of people globally.
  • Innovation:
    We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems.

Ad Platforms is responsible for Disney’s industry-leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content, across all media platforms.

One of the goals for the Ad Platforms is to transform advertising and Disney's Ad platform with AI and data science. We build solutions to measure and optimize every aspect of the advertising life cycle. Our tenant is a strong cross-domain team to deliver E2E solutions for machine learning and data science.

Our team is seeking a principal machine learning engineer who will be an outstanding addition and leading development for prediction or optimization engines for addressable ad platforms. The right person for this role should be experienced in crafting implementation for either machine learning technologies or data-driven algorithms. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you!

Job Summary

As our team's Principal Machine Learning Engineer, you will apply your battle-tested experience, deep technical knowledge of software and systems including Machine Learning and AI technologies, and leadership skills to unblock and guide our ML , Research and functional teams to create scalable, performant, maintainable, and testable models and pipelines.

Responsibilities And Duties Of

The Role
  • Apply state of the art AI/ML to the Innovation and Creative Platforms for Ad Experiences.
  • Leverage novel backend and/or ML/AI solutions for complex ad serving challenges with fast turnaround.
  • Drive design and implementation of LLM and GenAI related applications ensuring scalable and efficient approaches for large scale data analysis and model development.
  • Provide Prompt Engineering support to different functional team
  • Identify and experiment models from training, testing, production rollout…
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