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5319 National Geographic Partners PAY SVC Verified 2d ago

Lead Machine Learning Engineer, Ads Research

Glendale, CA, USAAll locationsGlendale, CA, USASeattle, WA, USASanta Monica, CA, USA On-site

Salary not listed
PaySalary not listed
TypeFull-time
Work settingOn-site
Verified listing

JobFig found this opening at its original source and checks that it remains available.

About the role

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. This position will be responsible for working across multiple machine learning areas with primary focus on specialization in generative AI applications, including generative mixed media, language models, and other agentic multimodal technologies. We are seeking a Lead Machine Learning Engineer to join this innovative team. This role offers a unique leadership opportunity for an experienced ML engineer who thrives at the intersection of technical excellence, emerging technology, strategic impact, and cross-functional collaboration, across both generative AI and traditional ML applications.

What you'll bring

  • Must include an appreciation for the importance of rigorous quality evaluation processes.
  • Experience in rapid creative prototyping with generative AI is a plus, such as examples of rapid development of creative generative AI prototyping in research labs, hackathons, etc.
  • MS or PhD (preferred) in computer science or equivalent experience.

Locations

Glendale, CASeattle, WASanta Monica, CA