Lead Machine Learning Engineer

Join Disney Entertainment and ESPN Product & Technology in Seattle, WA (onsite) and help shape machine learning that improves how addressable advertising works across the full lifecycle. In this role, you will lead end-to-end development of prediction and optimization engines that use AI and data science to advance inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery. You will work in an open and creative environment, collaborate across engineering and product teams, and mentor others as you iterate toward production-ready solutions.

What you’ll do

• Drive innovation by applying state-of-the-art AI and machine learning to enhance multiple advertising areas, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
• Invent and iterate novel solutions for complex advertising challenges with fast turnaround.
• Own the design and iteration of ad algorithm architecture for the advertising system.
• Develop scalable, 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, creative environment.
• Mentor team members and support their technical growth.

What you bring

• Bachelor’s Degree in Computer Science or a relevant field.
• 7+ years of working experience 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.
• Passion for 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.
• A proven track record of thriving in a fast-paced, data-driven, collaborative environment.

Tools you may work with

Java, Python, Scala, TensorFlow, Kubeflow, and SageMaker.

Preferred experience

• MS or PhD in computer science or equivalent experience.
• Experience in digital video advertising or digital marketing.
• Experience with CTR/CVR modeling, generative AI, and forecasting algorithm models.
• Experience with feature stores, audience segmentation, and MLOps.
• Experience with TensorFlow, Kubeflow, or SageMaker.