Lead Machine Learning Engineer - ESPN+ Personalization

The Walt Disney Company; New York, Seattle, San Francisco (NY, WA, CA); On-site; USD 172,000 - 232,000; Full time

Job summary

The Walt Disney Company seeks a Lead Machine Learning Engineer to implement large-scale ML solutions for ESPN+. This role requires a blend of deep technical knowledge and software skills to enhance real-time video recommendations and mentor junior engineers, enabling the team to build advanced systems and optimize user experiences.

Qualifications

• 7+ years of hands-on experience building ML models.
• Strong expertise in personalization and recommendation systems.
• Proficient in modern ML frameworks like TensorFlow and PyTorch.

Responsibilities

• Lead design and deployment of ML models for video recommendations.
• Architect personalization pipeline and key subsystems.
• Conduct analysis on user interactions for model improvements.

Skills

Machine Learning

Software Engineering

Data Analysis

Deep Learning

Recommendation Systems

Education

Bachelor’s degree in Computer Science

Tools

TensorFlow

PyTorch

AWS

GCP

Azure

Job description

Lead Machine Learning Engineer - ESPN+ Personalization

Lead Machine Learning Engineer - ESPN+ Personalization

Apply Now Apply Later Job ID 10121018 Location San Francisco, California, United States / New York, New York, United States / Seattle, Washington, 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 a new real-time video recommendation system as a core capability of our next-generation streaming platform. We are building a foundational ML team that will power the personalization experience for millions of users.

We are seeking a Lead Machine Learning Engineer to take ownership of major components of the end-to-end personalization system. In this role, you will lead the technical design and delivery of key subsystems (modeling, data pipelines, real-time serving, or online experimentation), working closely with the Principal MLE, product, infrastructure, and cross-functional partners.

You will combine deep machine learning expertise with strong software engineering skills to drive production-grade ML solutions at scale. In addition, you will provide mentorship to more junior engineers and play a key role in establishing technical standards, development processes, and team culture as the team grows.

Responsibilities and Duties of the Role:

• Lead the design, development, and deployment of machine learning models for large-scale real-time short-form video recommendation.

• Architect and implement key subsystems of the end-to-end personalization pipeline, including model training, online inference, feature stores, streaming pipelines, and serving infrastructure.

• Build advanced recommendation models using deep learning, embeddings, sequence models, transformers, and multi-task learning frameworks.

• Partner with Principal ML Engineer and technical leadership to drive system architecture decisions balancing scalability, latency, accuracy, and maintainability.

• Conduct deep data analyses on user interactions to identify optimization opportunities and drive continuous model improvements.

• Drive ML experimentation processes, A/B testing, and evaluation frameworks to validate model performance.

• Establish and enforce ML engineering best practices across model development, deployment, monitoring, and governance.

• Mentor and provide technical guidance to other ML engineers, contributing to capability building within the team.

• Collaborate closely with product managers, data scientists, engineers, and infrastructure teams to align technical execution with business goals.

Required Education, Experience/Skills/Training:

Basic Qualifications:

• Demonstrated ownership of end-to-end ML system components with successful production launches.

• Strong applied ML expertise with experience in personalization, recommendation systems, ranking models, and/or predictive modeling.

• Proficiency with modern ML frameworks such as TensorFlow, PyTorch, or similar.

• Experience with real-time feature stores, streaming data pipelines, and online inference architectures.

• Strong software engineering skills, with experience in distributed systems, data pipelines, and cloud platforms (AWS, GCP, Azure).

• Excellent communication, collaboration, and technical leadership skills, including mentorship experience.

• Experience partnering with cross-functional teams (product, infra, data science) to deliver ML-powered product features.

Preferred qualification:

• Experience building real-time recommendation systems for content feeds, media platforms, or short-form video.

• Familiarity with ranking models, retrieval systems, approximate nearest neighbor search (ANN), and embedding management at scale.

• Knowledge of real-time personalization challenges including cold start, feedback loops, delayed labels, and exploration-exploitation tradeoffs.

• Experience with experimentation platforms (A/B tests, multi-armed bandits, reinforcement learning).

• Experience operating in startup-like or 0→1 product development environments.

• Ability to identify technical risks, balance tradeoffs, and drive pragmatic solutions under ambiguous product requirements.

Experience with:

• 7+ years of hands-on experience building and deploying machine learning models into production systems.

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 New York, NY & Seattle, WA is $172,300-$231,100 per year, in San Francisco, CA is $183,700.00-$246,400.00 per year and in Los Angeles, CA is $164,500.00 to $220,600.00 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.

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.

• Lead Software Engineer Oregon, United States / Santa Monica, California, United States / Bristol, Connecticut, United States / New York, New York, United States / The Woodlands, Texas, United States / San Francisco, California, United States / Seattle, Washington, United States / Remote, United States

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