Job Description

Lead Machine Learning Engineer

Apply Now Apply Later Job ID 10115753 Location Santa Monica, California, United States / Bristol, Connecticut, United States / San Francisco, California, United States / New York, New York, United States / Seattle, Washington, United States Business Disney Entertainment and ESPN Product & Technology Date posted 7. 15, 2025

Job Summary:

On any given day at Disney Entertainment and ESPN Product & Technology, were reimagining ways to create magical viewing experiences for the worlds most beloved stories while also transforming our media business for the future. Whether thats evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to enhance flexibility and efficiency, or delivering Disneys unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think youd love working here:

• Building the future of Disneys media: DEEP&T Technologists are designing and building the infrastructure that will power our media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day from Disney+ and Hulu, to ESPN and ESPN+, and much more.
• Innovation: We develop and implement groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The Commerce, Growth & Identity (CGI) organization is dedicated to three business-critical areas at Disney that will help transform its media business. We build innovative and cutting-edge capabilities to drive subscriptions, engagement, and monetization across Disney's streaming and digital products. We enable the wide range of Disney brands to connect and engage with consumers through a unified identity, powered by shared services that are trustworthy and seamless to integrate with.

The Disney Entertainment and ESPN Product & Technology (DEEP&T) Commerce, Growth and Identity Client Engineering organization delivers experiences across Disney+, Hulu, ESPN+, and Star+ built on a common platform and shared technology. We are fast-paced and fast-growing organization that shares knowledge and code for initiatives throughout Disney! Our mission: Building inclusive user-centered experiences that welcome users, guiding them through a seamless journey from login to sign up, and facilitating effortless account management. As a member on DEEP&T Web Commerce team youll build the core sign-up, purchase, and subscription management experiences of our Web platform.

You will serve as a high level technical resource and go-to person, solving sophisticated technical challenges and finding opportunities to improve systems, products, and services!

What You Will Do

• Drive ground-breaking innovation and apply state of the art machine learning models to boost conversions on Hulu, Disney+, and ESPN+.
• Improve developer efficiency by using development data to improve workflows and code quality.
• Develop scalable and efficient methods for large scale data analysis and model development.
• Build and experiment brand new algorithms and models end-to-end through production rollout and continuous optimization.
• Partner with product teams to define product strategies and drive direction.
• Develop new approaches and provide leadership to the organization to invent and implement visions for the client team.
• Mentor team members on machine learning, prompt engineering, and data analysis.

Required Qualifications & Skills

• 7+ years of experience in a technical field
• Understanding on ML/AI technologies, mathematics, and statistics.
• Proficient with Python and Javascript.

Preferred Qualifications & Skills

• MS or higher degree in computer science or related field
• 4+ years of working experience on machine learning and artificial intelligence at leading internet companies.
• Knowledge of or experience with industry tools like PyTorch, Tensorflow, LangChain, and LlamaIndex.
• Expertise in embeddings, Retrieval-augmented generation (RAG), Reinforcement learning from human feedback (RLHF), prompt engineering, and fine tuning.

Education

• Bachelors in Computer Science (or related field) and/or equivalent work experience required

The hiring range for this position in Santa Monica, CA is $167,700 to $224,900 per year, in New York, NY and Seattle, WA is $175,800 to $235,700 per year, and in San Francisco, CA is $183,700 to $246,400 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidates 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:

At Disney Entertainment and ESPN Product & Technology, were blending imagination and innovation to reimagine the ways people experience and engage with the worlds 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.

Disneys 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. Disneys 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.

• Principal Software Engineer New York, New York, United States / Burbank, California, United States / Glendale, California, United States / San Francisco, California, United States / Seattle, Washington, United States / Los Angeles, California, United States

Disability Accommodation For Employment Applications

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 Candidate.Accommodations@Disney.com 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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Job Tags

Full time, Work experience placement, Local area, Worldwide,

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