Build and lead end-to-end machine learning systems for Disney’s addressable ad platforms in Seattle.

Apply modern AI and machine learning to improve advertising across the lifecycle: inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery
Invent, iterate, and deliver novel solutions to complex ad challenges with fast turnaround
Own the design and iteration of ad algorithm architecture within the advertising system
Create scalable, efficient methods for large-scale data analysis and model development
Build and run experiments for new algorithms and models from production rollout through continuous optimization
Work closely with engineering teams, product managers, and program managers in an open, creative environment
Mentor team members and support their technical growth

Bachelor’s degree in Computer Science or a relevant field
7+ years of experience working on large-scale machine learning at leading internet companies
Strong foundation in AI/ML, mathematics, and statistics
Proficiency in Java, Python, Scala, plus experience with large-scale ML/DL platforms and processing stacks
Strong interest in the ad business, applying advanced research to business scenarios, and identifying innovation opportunities to improve effectiveness
Interest in technology and interdisciplinary collaboration; experience building data-driven services and applications
Demonstrated ability to thrive in a fast-paced, data-driven, collaborative environment

MS or PhD in computer science (or equivalent experience)
Experience in digital video advertising or digital marketing
Experience with CTR/CVR models, generative AI, and forecasting algorithms
Experience with feature store, audience segmentation, and MLOps
Experience with Tensorflow, Kubeflow, or Sagemaker

Location: Seattle, WA (onsite)

Lead Machine Learning Engineer

Job Description