Software Engineer II

Job ID 10148551 Location Glendale, California, United States / New York, New York, United States Business Disney Entertainment and ESPN Product & Technology Date posted Aug. 24, 2026

Apply Now

Job Summary:

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.

The Observability & Insights group ensures that Disney Streaming’s distributed systems are reliable, performant, and transparent. We build ML-powered detection systems, telemetry pipelines, intelligent alerting, and developer experience tooling that enable engineers across the organization to understand system health and take action quickly.

Job Summary:

As a Software Engineer II, you will contribute to building and operating machine learning models and AI-driven systems that enhance the reliability of Disney’s streaming ecosystem. You will work on production ML models — including autoencoders for anomaly detection, statistical threshold systems, and LLM-powered investigation gates — that transform telemetry and signals into automated detection and proactive insights across Disney+, Hulu, and ESPN.

You will participate in the ML lifecycle: feature engineering on time-series data, model training on GPU clusters, real-time inference pipelines, and model improvement. You will partner with engineering and platform teams to embed intelligence into operational workflows, improving system resilience and customer experience at scale.

As a Software Engineer II, you will deliver features end-to-end, participate in model design and code reviews, and grow into owning components of production ML systems within a fast-paced, AI-native engineering environment.

Responsibilities and Duties of the Role:

Contribute to production ML models for anomaly detection, including autoencoders, statistical threshold models, and ensemble detection systems that monitor thousands of microservices

Develop and improve ML training pipelines using PyTorch on GPU clusters — including feature engineering, model training, threshold calibration, and deployment through MLflow

Engineer features from time-series telemetry (error ratios, latency, infrastructure metrics) — implementing windowing, normalization, and data quality safeguards for model consumption

Support real-time ML inference systems that run prediction cycles in production — including model serving, detection logic, and alert generation

Build AI-driven capabilities using foundation models (Claude, GPT-4) for automated investigation and reasoning over system health signals

Create and deploy scalable APIs and services (FastAPI) that deliver ML predictions, health status, and insights to engineering teams and operational tooling

Partner cross-functionally to embed ML intelligence into workflows such as incident response and release validation

Contribute to model improvement through evaluation, retraining, and threshold tuning

Basic Qualifications

3+ years of professional software engineering experience building, scaling, and maintaining ML-powered backends, data-driven microservices, and production RESTful APIs using FastAPI or Flask

Strong hands-on experience in end-to-end ML engineering using PyTorch or TensorFlow spanning model architecture selection, feature engineering, training, and evaluation (e.g., autoencoders, sequential/time-series models like RNNs/GRUs, anomaly detection, or transformers).

Proficiency in Python and at least one ML framework (PyTorch preferred)

Experience managing model experiments, lineage, and hyperparameter tracking using tools like MLflow or Weights & Biases.

Practical experience processing, transforming, and querying large-scale telemetry, event, or time-series datasets using PySpark, Pandas, or Databricks.

Experience with modern development practices including version control (GitHub), containerization (Docker), and cloud-native deployments (AWS/EKS)

Strong analytical and troubleshooting skills with the ability to iterate rapidly

Strong collaboration and communication skills, with the ability to work cross-functionally

Preferred Qualifications

Experience with foundation model integration, prompt engineering/evaluation, RAG architectures, or orchestration frameworks like LangChain or LangGraph

Familiarity with observability platforms (e.g., Datadog, Grafana, Conviva) and high-volume telemetry data

Experience with large-scale data platforms (Databricks, Spark, Snowflake)

Required Education

Bachelor’s degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent experience

#disneytech

The hiring range for this position in Glendale, CA is $117,500 - $157,500 per year, and in New York City, NY is $123,000 - $165,000 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.

Apply Now

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.

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, visit the Disney candidate disability accommodations FAQs. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Having technical issues? View the FAQs for help.

Hiring Process

Where Does Your Story Begin?

Explore Disney Careers and the Life at Disney blog to learn about all the amazing opportunities waiting to be discovered at The Walt Disney Company.
Be Part of the Story

There are many different brands and businesses to explore. Once you've found the opportunity that is right for you, take the next step by completing your application.
The Next Chapter

Once you've applied, you will receive an email allowing you to access your candidate dashboard. Create your login and make sure to check your dashboard often to see your application progress.