Senior Machine Learning Engineer, Ad Platforms

Senior Machine Learning Engineer, Ad Platforms

Location: Seattle, Washington; Santa Monica, California; San Francisco, California. Business: Disney Entertainment and ESPN Product & Technology. Date posted: 9月. 18, 2025.

Job Summary: 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 you’ll love working here:

• Building the future of Disney’s media: Our Technologists design and build the products and platforms that power our media, advertising, and distribution businesses for years to come.

• Reach, Scale & Impact: Disney’s technology and products serve as a signature doorway for fans’ connections with the company’s brands and stories across Disney+, Hulu, ESPN, ABC, ABC News, and more.

• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and solve complex technical problems.

Ad Platforms is responsible for Disney’s industry‑leading ad technology and products, driving advertising performance, innovation, and value across sports, news, and entertainment content on all media platforms.

The Ad Platform research team is part of Ad Platforms and 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 cross‑domain team delivers end‑to‑end solutions for machine learning and data science. We seek a Senior Machine Learning Engineer focused on machine learning algorithm development for addressable ad platforms. You should be experienced in crafting implementations for machine learning technologies or data‑driven algorithms. If you are proactive and innovative in these domains, this is a phenomenal role for you!

Responsibilities:

• Drive ground‑breaking innovation and apply state‑of‑the‑art AI and ML in areas such as 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 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 of and experience implementing 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 relevant 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.

• Proven ability to thrive in a fast‑paced, data‑driven, and collaborative 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 stores, audience segmentation and MLOps.

• Experience with TensorFlow, Kubeflow or SageMaker.

• Experience in advertising, digital video advertising, or digital marketing domains.

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.

#DISNEYTECH

The hiring range for this position in WA is $145,400.00 to $195,000.00 per year and in CA is $138,900.00 to $203,900.00 per year. The base pay offered will consider internal equity and may vary by geographic region, job‑related knowledge, skills, and experience. A bonus and/or long‑term incentive units may be provided, along with medical, financial, and/or other benefits, dependent on level and position.

About Disney Entertainment and ESPN Product & Technology

We blend imagination and innovation to reimagine how people experience stories and products. Our work is wide‑ranging and deeply sophisticated, creating amazing experiences, transforming the future of media, and building products and platforms that connect people with the stories and sports they love.

Disney is unique in marrying world‑class technology with creativity. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.

About The Walt Disney Company

The Walt Disney Company is a leading diversified international family entertainment and media enterprise with three core segments: Disney Entertainment, ESPN, and Disney Experiences. We create world‑class stories and experiences for a global audience across more than 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 offering equal consideration to all qualified applicants.

Disability Accommodation For Employment Applications: The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers. If you require a reasonable accommodation, please email This address is for accommodation requests related to the online application system only.

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