Principal Machine Learning Engineer

Job ID 10157433 Location Glendale, California, United States / New York, New York, United States Business Disney Entertainment and ESPN Product & Technology Date posted Aug. 21, 2026

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Job Summary:

Disney Entertainment and ESPN Product & Technology

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.

Here are a few reasons why we think you’d love working here:

● 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: More than ever, 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 many more. These products and brands –

and the unmatched stories, storytellers, and events they carry – matter to millions of

people globally.

● Innovation: We develop and implement groundbreaking products and techniques

that shape industry norms, and solve complex and distinctive technical problems.

Product Engineering is a unified team responsible for the engineering of Disney

Entertainment & ESPN digital and streaming products and platforms. This includes product

engineering, media engineering, quality assurance, engineering behind personalization,

commerce, lifecycle, and identity.

News & Entertainment (N&E) Machine Learning

The N&E ML team is responsible for building robust data pipelines and advanced machine learning platforms that deliver personalized experiences to users across Disney's News & Entertainment portfolio including ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Our services leverage machine learning models to enable real-time content personalization and targeted distribution across web, mobile, and connected TV platforms, ensuring that users receive the most relevant and engaging content tailored to their interests. Our mission is to drive seamless, resilient, and low-latency personalized content delivery at scale, while continuously advancing our ML infrastructure and recommendation algorithms across one of the world's most iconic collections of entertainment brands.

Job Summary:

As a Principal Machine Learning Engineer, you will define and own the technical architecture and strategic direction of the N&E ML Platform across a large, complex problem space spanning Disney's News & Entertainment portfolio. You will drive step-function improvements in personalization, recommendation systems, and ML infrastructure - not just at the feature level, but across entire product and platform domains. You will serve as a thought leader who bridges business objectives and technical execution, partnering with senior leadership, product, and cross-org engineering communities to set the standard for ML excellence within News & Entertainment. Your impact will be measured by the quantifiable outcomes you drive for our guests and the durable technical foundations you build for the teams around you.

Responsibilities and Duties of the Role:

-Focus on major areas of work, typically 20% or more of role

Architecture Ownership: Define and own the end-to-end architecture of the N&E ML platform across a large problem space spanning ABC News, ABC Entertainment, National Geographic, Marvel, and Disney Studios. Author architecture documents, drive them through review, and oversee implementation to ensure solutions are scalable, reliable, and aligned with platform-wide standards.

Strategic Technical Leadership: Identify, scope, and prioritize the most impactful and time-sensitive ML workstreams across the N&E portfolio. Break down and sequence complex initiatives, proactively surface risks to leadership, and drive outcomes with a clear metrics-driven mindset.

ML Platform & Infrastructure: Drive the design and evolution of infrastructure supporting the full ML lifecycle across diverse content types and brands: data pipelines, workflow orchestration, feature stores, batch training, and low-latency online serving. Champion reliability, quality, and operational excellence across the platform.

Innovation & Industry Awareness: Stay at the forefront of industry trends in ML, AI, and data engineering. Proactively identify and champion the adoption of new technologies, frameworks, and patterns that drive improvement across the N&E portfolio (e.g. recommendation systems, LLMs, RAGs, object detection, autogenerated content tagging).

Incident & Reliability Ownership: Own and speak to production incidents during weekly meetings with leadership. Hold the team to the right engineering processes and drive a culture of reliability, observability, and continuous improvement across the N&E ML problem space.

Cross-Org Engagement: Actively participate in and contribute to the broader Machine Learning community across Disney Entertainment & ESPN. Drive and influence engineering standards, cross-org programs, and best practices that extend beyond the N&E ML team.

Business & Objectives Alignment: Serve as a thought leader who deeply understands the business objectives and problems across the N&E portfolio - not just the technical ones. Lead metrics-driven programs that connect ML platform investments directly to measurable guest experience and business outcomes across all brands.

Mentorship & Culture: Mentor and elevate senior engineers, fostering a culture of ownership, technical rigor, and continuous learning. Be a confident, vocal, and optimistic leader who inspires the team and drives outcomes people want to rally around.

Required Education, Experience/Skills/Training:

Basic Qualifications

Bachelor’s degree in computer science, Information Systems, Statistics, Math, or comparable field of study, and/or equivalent work experience
10+ years of experience building and operating ML engineering systems in production environments, with a track record of owning large, complex problem spaces
Deep expertise in data science, deep learning algorithms, and statistical methods applied to real-world, large-scale engineering problems
Demonstrated experience owning architecture across a significant platform or product domain - including authoring architecture documents, driving reviews, and leading implementation
Proven ability to drive quantifiable improvements in ML platform capabilities, personalization quality, or recommendation system performance
Experience designing and evolving backend microservices for large-scale distributed systems using REST
Strong expertise with cloud infrastructure, preferably AWS (Step Functions, Lambda, Glue, SQS, SNS, Personalize)
Deep hands-on experience with big data technologies such as Databricks, Spark, Kinesis, and Kafka
Experience leading incident response for high priority incidents and driving reliability programs across a team or platform
Active participation in cross-organizational engineering communities, standards-setting, and architectural governance
Proven track record as a metrics-driven technical leader who connects engineering decisions to business outcomes
Exceptional communication, influence, and collaboration skills — comfortable presenting to and aligning senior leadership and cross-functional stakeholders
Experience working in Agile/Scrum environments with strong prioritization and stakeholder management skills

Preferred Qualifications

Experience with agentic AI workflows and frameworks (e.g. LangGraph, AutoGen, CrewAI) and applying them to automate complex ML and data engineering tasks
Familiarity with AI-assisted development tools such as Claude, Cursor, or GitHub Copilot to accelerate software development lifecycle and engineering productivity
Familiarity with prompt engineering, fine-tuning, and evaluation frameworks for large language models in production environments
Experience with MLOps platforms and modern model lifecycle management tools (e.g. MLflow, SageMaker, Vertex AI)

The hiring range for this position in Glendale, California is $207,400 - $278,100 per year. The base pay actually offered will take into account internal equity and also may 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, dependent on the level and position offered.

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About Disney Entertainment and ESPN Product & Technology:

At Disney Entertainment and ESPN Product & Technology, we’re blending imagination and innovation to reimagine the ways people experience and engage with the world’s most beloved stories and products. Our work is wide-ranging and deeply sophisticated. We create amazing experiences, transform the future of media, and build products and platforms that enable the connection between people everywhere and the stories and sports they love.

Disney’s ability to marry world-class technology with one-of-a-kind creativity makes us unique. It is at the heart of our past, present, and future. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers.

About The Walt Disney Company:

The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.

This position is with Disney Entertainment & Sports LLC, which is part of a business we call Disney Entertainment and ESPN Product & Technology.

Disney Entertainment & Sports LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world.

To learn more about Disney's policies on the use of AI for candidates, click here.

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