The Walt Disney Company
Senior Principal Machine Learning Architect, Ad Platforms
The Walt Disney Company, Santa Monica, California, United States
Senior Principal Machine Learning Architect, Ad Platforms
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, innovators, creators, and builders, working 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.
Building the future of Disney’s media: 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 a signature doorway for fans’ connections with the company’s brands and stories – Disney+, Hulu, ESPN, ABC, ABC News, and more.
Innovation: developing and implementing groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.
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.
Responsibilities
Influence strategies to address internal or external business objectives.
Lead highly visible multidisciplinary projects or initiatives, providing thought leadership and influencing decision making.
Proactively identify and solve complex and business‑critical matters that impact the direction of overall business.
Day‑to‑Day Skills
Excellent communication and collaboration across teams and organizations.
Strong understanding of architectural best practices and principles in machine learning and AI domains.
Proficiency in designing and implementing robust, scalable, measurable models and pipelines.
Passion for mentoring, learning, and adapting to a dynamic and fast‑paced environment.
Ability to collaborate with product teams, translating requirements into well‑defined technical implementations and defining technical and operational metrics for measuring system health.
Knowledge of relevant and upcoming technologies and their potential application within the stack.
Keen eye for potential optimizations and enhancements.
Kindness and pragmatic optimism.
Your unique view and experience.
Basic Qualifications
BS or MS in Computer Science/Engineering or relevant work experience.
12 years of experience in software engineering, architecture, or relevant fields.
Proficiency in toolkits like TensorFlow, PyTorch, or other deep learning frameworks.
Experience using Amazon SageMaker, Amazon Bedrock and other related ML services.
10+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models.
Experience in distributed training, model parallelism, and deployment of large‑scale generative models.
Knowledge of techniques such as quantization, distillation, and efficient inference; experience with deploying large ML models in real‑world products.
Strong background in conducting experiments, analyzing results, and iterating model improvements.
Preferred Qualifications
Collaborate with business stakeholders to define data strategies that align with the organization’s objectives.
Collaborate with cross‑functional teams, including data engineers, product managers, and business stakeholders to ensure that data solutions meet business requirements and align with technological capabilities.
Experience in multi‑modal models (e.g., image, video, audio, or motion modalities).
Experience building platforms for model governance and AI lifecycle management.
Background in high‑availability, low‑latency system design.
Strong experience in working with AWS cloud and its technologies.
Experience in Ad‑Platform domain, streaming technologies.
Salary: The hiring range for this position in Santa Monica, CA is $228,700 - $306,700 per year, and in Seattle is $239,700 - $321,400 per year.
Location Santa Monica, CA; Seattle, WA
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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, innovators, creators, and builders, working 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.
Building the future of Disney’s media: 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 a signature doorway for fans’ connections with the company’s brands and stories – Disney+, Hulu, ESPN, ABC, ABC News, and more.
Innovation: developing and implementing groundbreaking products and techniques that shape industry norms and solve complex, distinctive technical problems.
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.
Responsibilities
Influence strategies to address internal or external business objectives.
Lead highly visible multidisciplinary projects or initiatives, providing thought leadership and influencing decision making.
Proactively identify and solve complex and business‑critical matters that impact the direction of overall business.
Day‑to‑Day Skills
Excellent communication and collaboration across teams and organizations.
Strong understanding of architectural best practices and principles in machine learning and AI domains.
Proficiency in designing and implementing robust, scalable, measurable models and pipelines.
Passion for mentoring, learning, and adapting to a dynamic and fast‑paced environment.
Ability to collaborate with product teams, translating requirements into well‑defined technical implementations and defining technical and operational metrics for measuring system health.
Knowledge of relevant and upcoming technologies and their potential application within the stack.
Keen eye for potential optimizations and enhancements.
Kindness and pragmatic optimism.
Your unique view and experience.
Basic Qualifications
BS or MS in Computer Science/Engineering or relevant work experience.
12 years of experience in software engineering, architecture, or relevant fields.
Proficiency in toolkits like TensorFlow, PyTorch, or other deep learning frameworks.
Experience using Amazon SageMaker, Amazon Bedrock and other related ML services.
10+ years in machine learning, with at least 2 years of experience in LLMs, diffusion models, or other generative image/video models.
Experience in distributed training, model parallelism, and deployment of large‑scale generative models.
Knowledge of techniques such as quantization, distillation, and efficient inference; experience with deploying large ML models in real‑world products.
Strong background in conducting experiments, analyzing results, and iterating model improvements.
Preferred Qualifications
Collaborate with business stakeholders to define data strategies that align with the organization’s objectives.
Collaborate with cross‑functional teams, including data engineers, product managers, and business stakeholders to ensure that data solutions meet business requirements and align with technological capabilities.
Experience in multi‑modal models (e.g., image, video, audio, or motion modalities).
Experience building platforms for model governance and AI lifecycle management.
Background in high‑availability, low‑latency system design.
Strong experience in working with AWS cloud and its technologies.
Experience in Ad‑Platform domain, streaming technologies.
Salary: The hiring range for this position in Santa Monica, CA is $228,700 - $306,700 per year, and in Seattle is $239,700 - $321,400 per year.
Location Santa Monica, CA; Seattle, WA
#J-18808-Ljbffr