Lead Machine Learning Engineer - Ad Platforms

Lead Machine Learning Engineer - Ad Platforms at The Walt Disney CompanyTechnology 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 Ad Platforms team is responsible for Disney’s industry-leading ad technology and products, driving advertising performance, innovation, and value across all media platforms.Ad Platform research aims 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 team delivers end-to-end machine learning and data science solutions, and seeks a Lead Machine Learning Engineer to lead development for prediction or optimization engines for addressable ad platforms. The right candidate will have experience crafting implementations for machine learning technologies or data-driven algorithms and be proactive and innovative.What You’ll DoDrive ground-breaking innovation and apply state-of-the-art AI and machine learning in various areas to enhance advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad vent and iterate novel solutions for complex ad challenges with fast turnaround.Lead the ad algorithm architecture design and iteration of 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 to 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.What To BringBachelors degree (MS or PhD preferred) in computer science or equivalent experienceAt least 7 years of working experience on large-scale machine learning at leading internet companies. Experience in the advertising domain and forecasting algorithms is preferred.Strong knowledge of AI/ML technologies, mathematics, and statistics.Proficient in Java, Python, Scala, large-scale ML/DL platforms and processing tech stack.Passionate about understanding the ad business, applying advanced research to business scenarios, and seeking opportunities to enhance business effectiveness.Passionate about technology, open to interdisciplinary collaborations, and experienced in building data-driven services and applications.Thrives in a fast-paced, data-driven, and collaborative work environment.NICE-TO-HAVESExperience in digital video advertising or digital marketing domainExperience with CTR/CVR models, generative AI, forecasting modelsExperience with feature store, audience segmentation and MLOpsExperience with TensorFlow, Kubeflow, Databricks or SagemakerCompensation and BenefitsThe hiring range for this position in Santa Monica, CA and Glendale, CA is $167,700 - $224,900 per year and in Seattle is $175,800 - $235,700. The base pay offered will depend on geographic region, job-related knowledge, skills, and experience; a bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to a full range of benefits.Seniority levelMid-Senior levelEmployment typeFull-timeJob functionInformation TechnologyIndustriesEntertainment Providers #J-18808-Ljbffr

Created: 2025-10-06