Principal Machine Learning Engineer - ESPN+ Personalization

The Walt Disney Company; Seattle, Los Angeles, New York, San Francisco (WA, CA, NY, CA); On-site; USD 212,000 - 286,000; Full time

Job summary

Join Disney as a Principal Machine Learning Engineer for ESPN+, where you'll lead the development of a real-time recommendation engine to enhance user engagement across Disney's streaming platforms. Utilize your expertise in machine learning to solve cutting-edge technical challenges while working in a dynamic team environment dedicated to innovation and creativity.

Qualifications

• 8+ years of experience in building ML models.
• Strong expertise in recommendation systems.
• Demonstrated technical leadership in cross-functional projects.

Responsibilities

• Design and implement ESPN’s real-time video recommendation system.
• Develop large-scale ML pipelines for personalized content.
• Lead complex technical discussions on model quality and operational reliability.

Skills

Machine Learning Algorithms

Deep Learning Architectures

Real-time Serving Architectures

Recommendation Systems

Python

Education

Bachelor’s degree in Computer Science or equivalent

Tools

TensorFlow

PyTorch

Job description

Principal Machine Learning Engineer - ESPN+ Personalization

Principal Machine Learning Engineer - ESPN+ Personalization

Apply Now Apply Later Job ID 10106487 Location San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States / Los Angeles, California, United States Business Disney Entertainment and ESPN Product & Technology Date posted6月. 16, 2025

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:

1. 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.

2. 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.

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

Job Summary:

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.

ESPN is building the next-generation video experience for our global streaming platform, and personalization will be at the core of delivering a world-class user experience. We are seeking a Principal Machine Learning Engineer to serve as the technical architect and driving force behind the design, development, and deployment of our real-time recommendation engine. This is a unique opportunity to lead the technical direction and build foundational personalization capabilities that will directly shape user engagement, satisfaction, and long-term growth.

In this role, you will partner closely with engineering, product, data science, and business teams to define system architecture, design large-scale ML solutions, and drive end-to-end ownership of real-time recommendation systems from 0 to 1. You will bring deep technical expertise in recommendation algorithms, real-time serving architectures, and large-scale machine learning systems, as well as the leadership and communication skills to influence cross-functional teams.

Responsibilities and Duties of the Role:

• Serve as the technical architect and primary owner for the design and implementation of ESPN’s real-time short-form video recommendation system.

• Design, develop, and deploy large-scale, end-to-end ML pipelines for real-time retrieval, ranking, and personalization at scale.

• Lead research, prototyping, and product ionization of cutting-edge recommendation algorithms, leveraging deep learning, embeddings, sequence models, transformers, and multi-task learning.

• Define system architecture for low-latency online inference, streaming data pipelines, feature stores, and online/offline model serving.

• Collaborate with cross-functional stakeholders to define personalization strategies, system requirements, metrics, and experimentation frameworks to drive continuous improvement.

• Lead complex technical discussions and make high-impact design decisions balancing model quality, scalability, system latency, and operational reliability.

• Establish ML engineering best practices, development standards, and model governance processes to ensure robust, reliable, and reproducible ML systems.

• Mentor and coach other machine learning engineers, helping to grow technical capability across the team and broader organization.

• Stay current with state-of-the-art research and industry trends; proactively incorporate emerging technologies into ESPN’s personalization roadmap.

Required Education, Experience/Skills/Training:
Basic Qualifications:

• Proven track record of designing and deploying real-time, large-scale ML recommendation systems (preferably in consumer or streaming platforms).

• Strong expertise in machine learning algorithms, deep learning architectures (e.g., sequence models, transformers, embeddings, multi-task learning), and personalization methodologies.

• Deep understanding of real-time serving architectures, online inference, feature stores, streaming data pipelines, and low-latency ML systems.

• Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, ONNX), and experience integrating ML models into production services.

• Demonstrated technical leadership in cross-functional projects; ability to independently own technical solution design, architecture, and execution in ambiguous 0→1 environments.

• Strong communication skills to collaborate with engineering, product, data, and business stakeholders

Preferred qualifications:

• Experience building short-form video or content-based recommendation systems, including ranking, retrieval, exploration/exploitation, and diversity modeling.

• Deep knowledge of real-time personalization challenges such as cold start, feedback loops, delayed labels, and temporal dynamics.

• Experience with experimentation platforms (e.g., A/B testing, bandits, reinforcement learning) to drive continuous optimization of recommendation systems.

• Experience designing ML systems on cloud platforms (AWS, GCP, Azure) with distributed compute, streaming data, and scalable online serving.

• Familiarity with retrieval models, approximate nearest neighbor search, graph-based recommenders, and large-scale embedding management.

• Experience collaborating with product and business stakeholders to define personalization goals, metrics, and KPIs.

• Strong mentoring capability to help grow and guide a new ML team; prior experience establishing technical standards, ML development best practices, and team capability building.

• Prior experience operating in a fast-paced startup or new product incubation environment.

Experience with:

• 8+ years of hands-on experience building and deploying machine learning models in production environments, with at least 2+ years in recommendation systems or personalization.

Required Education

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH

The hiring range for this position in Los Angeles, CA is $202,900 - $272,100 per year, in San Francisco, CA $222,200 - $297,900 and in New York & Seattle, WA is $212,600 - $285,100per 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.

About Disney Entertainment and ESPN Product & Technology:

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 Streaming Technology LLC , which is part of a business we call Disney Entertainment and ESPN Product & Technology .

Disney Streaming Technology 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.

We will consider for employment qualified applicants with criminal histories consistent with applicable law.

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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, email [e-mail] with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

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