The Walt Disney Company
Lead Software Engineer, Machine Learning - Ad Platforms
The Walt Disney Company, Santa Monica, California, United States, 90403
Lead Software Engineer, Machine Learning - Ad Platforms
Lead Software Engineer, Machine Learning - Ad Platforms
Apply Now | Apply Later Job ID:
10126687 Location:
Santa Monica, California, United States / Glendale, California, United States / Seattle, Washington, United States Business:
Disney Entertainment and ESPN Product & Technology Date posted:
Jul. 30, 2025 Job Summary:
Disney Entertainment & ESPN Technology At Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences and transforming Disneys media business for the future. We evolve streaming and digital products, power advertising and distribution, and deliver unmatched entertainment content worldwide. Reasons to work with us: Building the future:
Designing infrastructure to support Disneys media, advertising, and distribution for years to come. Reach & Scale:
Serving millions of consumers daily across platforms like Disney+, Hulu, ABC, ESPN, and more. Innovation:
Developing groundbreaking products and techniques to enhance audience experiences. The Ad Platforms organization builds and maintains a high-performance, microservice-based advertising platform across Disney properties. The Ad Platform Decisioning and Machine Learning Platform team focuses on enhancing advertising with machine learning and AI, delivering solutions for prediction and optimization engines for Disneys addressable ad platforms. We seek a Lead Software Engineer experienced in machine learning and backend services to join our team. WHAT YOULL DO
Lead the development of machine learning components to improve advertising aspects such as inventory forecasting, ad experience, pacing, pricing, targeting, and delivery. Build next-generation AI-based solutions for complex advertising challenges. Develop scalable data analysis and model development approaches. Collaborate with researchers to scale innovative solutions. Design for performance, scalability, reusability, and flexibility. Promote best engineering practices including design patterns, CI/CD, code reviews, and testing. Work with researchers, product managers, and other stakeholders in an open environment. Mentor team members professional and technical growth. WHAT TO BRING
Bachelors Degree in computer science or related field. 7+ years of experience in programming and design with Java, Python, Scala, etc. Strong experience with ML technologies like TensorFlow, Kubeflow, PyTorch, Databricks, AWS SageMaker, etc. Experience building high-availability, scalable microservices. Experience with big data processing technologies. Deep understanding of system and application design. Passion for understanding the ad business and innovating within it. Enthusiasm for technology and interdisciplinary collaboration. Proven ability to thrive in fast-paced, data-driven environments. NICE-TO-HAVES
Knowledge of advertising domain. Experience with GenAI, LLMs, feature store, audience segmentation, and MLOps. The salary range varies by location: in Los Angeles, CA ($152,000 - $204,100), Seattle, WA ($159,500 - $213,900), and San Francisco, CA ($166,800 - $223,600). Compensation includes base salary, bonuses, incentives, and benefits. About Disney Entertainment and ESPN Product & Technology:
We blend imagination and innovation to reimagine storytelling and engagement with beloved stories and products. Our work spans creating immersive experiences, transforming media, and building platforms connecting audiences worldwide. About The Walt Disney Company:
Disney is a leading global entertainment enterprise with segments including Disney Entertainment, ESPN, and Disney Experiences. We create world-class stories and experiences for diverse audiences worldwide, with operations in over 40 countries. This position is with Disney Streaming Technology LLC, part of Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. We welcome applicants of all backgrounds and provide accommodations for disabilities upon request. #J-18808-Ljbffr
Lead Software Engineer, Machine Learning - Ad Platforms
Apply Now | Apply Later Job ID:
10126687 Location:
Santa Monica, California, United States / Glendale, California, United States / Seattle, Washington, United States Business:
Disney Entertainment and ESPN Product & Technology Date posted:
Jul. 30, 2025 Job Summary:
Disney Entertainment & ESPN Technology At Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences and transforming Disneys media business for the future. We evolve streaming and digital products, power advertising and distribution, and deliver unmatched entertainment content worldwide. Reasons to work with us: Building the future:
Designing infrastructure to support Disneys media, advertising, and distribution for years to come. Reach & Scale:
Serving millions of consumers daily across platforms like Disney+, Hulu, ABC, ESPN, and more. Innovation:
Developing groundbreaking products and techniques to enhance audience experiences. The Ad Platforms organization builds and maintains a high-performance, microservice-based advertising platform across Disney properties. The Ad Platform Decisioning and Machine Learning Platform team focuses on enhancing advertising with machine learning and AI, delivering solutions for prediction and optimization engines for Disneys addressable ad platforms. We seek a Lead Software Engineer experienced in machine learning and backend services to join our team. WHAT YOULL DO
Lead the development of machine learning components to improve advertising aspects such as inventory forecasting, ad experience, pacing, pricing, targeting, and delivery. Build next-generation AI-based solutions for complex advertising challenges. Develop scalable data analysis and model development approaches. Collaborate with researchers to scale innovative solutions. Design for performance, scalability, reusability, and flexibility. Promote best engineering practices including design patterns, CI/CD, code reviews, and testing. Work with researchers, product managers, and other stakeholders in an open environment. Mentor team members professional and technical growth. WHAT TO BRING
Bachelors Degree in computer science or related field. 7+ years of experience in programming and design with Java, Python, Scala, etc. Strong experience with ML technologies like TensorFlow, Kubeflow, PyTorch, Databricks, AWS SageMaker, etc. Experience building high-availability, scalable microservices. Experience with big data processing technologies. Deep understanding of system and application design. Passion for understanding the ad business and innovating within it. Enthusiasm for technology and interdisciplinary collaboration. Proven ability to thrive in fast-paced, data-driven environments. NICE-TO-HAVES
Knowledge of advertising domain. Experience with GenAI, LLMs, feature store, audience segmentation, and MLOps. The salary range varies by location: in Los Angeles, CA ($152,000 - $204,100), Seattle, WA ($159,500 - $213,900), and San Francisco, CA ($166,800 - $223,600). Compensation includes base salary, bonuses, incentives, and benefits. About Disney Entertainment and ESPN Product & Technology:
We blend imagination and innovation to reimagine storytelling and engagement with beloved stories and products. Our work spans creating immersive experiences, transforming media, and building platforms connecting audiences worldwide. About The Walt Disney Company:
Disney is a leading global entertainment enterprise with segments including Disney Entertainment, ESPN, and Disney Experiences. We create world-class stories and experiences for diverse audiences worldwide, with operations in over 40 countries. This position is with Disney Streaming Technology LLC, part of Disney Entertainment and ESPN Product & Technology. Disney Streaming Technology LLC is an equal opportunity employer. We welcome applicants of all backgrounds and provide accommodations for disabilities upon request. #J-18808-Ljbffr