Lead Machine Learning Engineer

This role leads machine learning initiatives supporting Disney’s addressable ad platforms, with responsibility for building prediction and optimization engines that apply AI and data science across the advertising lifecycle. The position emphasizes end-to-end algorithm development, large-scale analytics, and continuous model improvement. Responsibilities Apply state-of-the-art AI and machine learning to improve multiple areas of advertising, including inventory forecasting , ad experience , ad pacing , pricing , targeting , and efficient ad delivery . Invent and iterate solutions to complex ad challenges with fast turnaround. Own the design and iteration of ad algorithm architecture across the advertising system. Develop scalable and efficient approaches for large-scale data analysis and model development . Build and experiment with new algorithms and models end-to-end, from production rollout through continuous optimization . Collaborate with engineering teams, product managers, and program managers in an open and creative environment. Mentor team members and support their technical growth. Requirements Bachelor Degree in Computer Science or a relevant field. 7+ years of experience working on large-scale machine learning at leading internet companies. Strong knowledge of AI/ML technologies , mathematics, and statistics. Proficiency in Java , Python , Scala , and large-scale ML/DL platforms and processing technologies. Strong interest in understanding the ad business, applying advanced research to business scenarios, and identifying innovation opportunities to improve business effectiveness. Passion for technology and interdisciplinary collaboration, with experience building data-driven services and applications. Proven ability to thrive in a fast-paced, data-driven, and collaborative work environment. Technologies Java, Python, Scala Tensorflow Kubeflow SageMaker Nice-to-Haves MS or PhD in computer science or equivalent experience preferred. Experience in digital video advertising or digital marketing domain. Experience with CTR/CVR modeling, generative AI, and forecasting algorithm models. Experience with feature store, audience segmentation, and MLOps. Experience with Tensorflow, Kubeflow, or Sagemaker. Location and Experience Seattle, WA (onsite). Minimum experience: 7 years . Education Bachelor Degree in Computer Science or relevant field. #J-18808-Ljbffr Disney Entertainment and ESPN Product & Technology