Senior Machine Learning Engineer, Ad Platforms
Disneyland Hong Kong
- United States
- United States
About
Technology 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 team marries technology with creativity to build world‑class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are storytellers and innovators, creators and builders, entertainers and engineers. We work with every part of The Walt Disney Company’s media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world. Why Join Disney
Building the future of Disney’s media:
Our technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come.
Reach, Scale & Impact:
Disney’s technology and products serve as the signature doorway for fans’ connections with the company’s brands and stories – Disney+, Hulu, ESPN, ABC, ABC News, and many more. These products and brands, and the unmatched stories, storytellers, and events they carry, matter to millions worldwide.
Innovation:
We develop and implement groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.
About the Role
Ad Platforms is responsible for Disney’s industry‑leading ad technology and products – driving advertising performance, innovation, and value in Disney’s sports, news, and entertainment content across all media platforms. The Ad Platform research team is under Ad Platforms and its mission is to transform 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 solutions for machine learning and data science. We are seeking a Senior Machine Learning Engineer who will focus on machine learning algorithm development for addressable ad platforms. The right person will have experience crafting implementations for machine learning technologies or data‑driven algorithms and will be proactive and innovative in these domains. Responsibilities
Drive ground‑breaking innovation and apply state‑of‑the‑art AI and machine learning to enhance every aspect of advertising, including inventory forecasting, ad experience, ad pacing, pricing, targeting, and efficient ad delivery.
Invent 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.
Basic Qualifications
5+ years of relevant engineering experience at leading technology companies.
Strong knowledge and experience implementing AI/ML technologies, mathematics, and statistics.
Proficient in Java, Python, Scala, and large‑scale ML/DL platforms and processing tech stack.
Passionate about understanding the ad business, applying advanced research to relevant business scenarios, and seeking innovation opportunities to enhance business effectiveness.
Passionate about technology, open to interdisciplinary collaborations, and experienced in building data‑driven services and applications.
Proven track record of thriving in a fast‑paced, data‑driven, and collaborative work environment.
Preferred Qualifications
Experience in large‑scale machine learning.
Experience in LLM and GenAI.
Experience with CTR/CVR models and generative AI.
Experience with feature store, audience segmentation, and MLOps.
Experience with TensorFlow, Kubeflow or SageMaker.
Experience in the advertising, digital video advertising, or digital marketing domain.
Required Education
Bachelor’s degree in computer science, information systems, or related equivalent experience.
Preferred Education
Master’s degree in computer science, information systems, or related equivalent experience.
Compensation
The hiring range for this position in Seattle, WA is $148,700 to $199,400 per year, in Santa Monica, CA is $141,900 to $190,300 per year, and in San Francisco, CA is $155,400 to $208,400 per year. The base pay actually offered will take into account internal equity and may also vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience, among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, depending on the level and position offered. EEO Statement
The Walt Disney Company and its affiliated companies are Equal Employment Opportunity employers and welcome all job seekers—including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, visit the Disney Candidate Disability Accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability. #DISNEYTECH
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Languages
- English
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