Job Posting Title:
Software Engineer IIReq ID:
10148551Job Description:
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.Job Posting Segment:
PE - Sports, News & Entertainment, Tech EnablementJob Posting Primary Business:
PE - Sports, News & Entertainment, Enablement - News & Entertainment EngineeringPrimary Job Posting Category:
Software EngineerEmployment Type:
Full timePrimary City, State, Region, Postal Code:
Glendale, CA, USAAlternate City, State, Region, Postal Code:
Date Posted:
2026-08-24Skills Required
- 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
- Hands-on end-to-end ML engineering experience using PyTorch or TensorFlow, including model architecture selection, feature engineering, training, and evaluation
- Experience with autoencoders, sequential or time-series models such as RNNs or GRUs, anomaly detection, or transformers
- Proficiency in Python and at least one machine learning framework
- Experience managing model experiments, lineage, and hyperparameter tracking using MLflow or Weights & Biases
- Experience processing, transforming, and querying large-scale telemetry, event, or time-series datasets using PySpark, Pandas, or Databricks
- Experience with GitHub, Docker, and cloud-native deployments using AWS or EKS
- Strong analytical and troubleshooting skills
- Strong collaboration and communication skills with the ability to work cross-functionally
- Bachelor's degree in Computer Science, Machine Learning, Statistics, Engineering, or equivalent experience
- Experience with foundation model integration, prompt engineering or evaluation, RAG architectures, LangChain, or LangGraph
- Familiarity with observability platforms such as Datadog, Grafana, or Conviva and high-volume telemetry data
- Experience with large-scale data platforms such as Databricks, Spark, or Snowflake
The Walt Disney Company Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Walt Disney Company and has not been reviewed or approved by The Walt Disney Company.
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Pay Growth & Progression — Recent union agreements raised wage floors for large groups of park cast members—e.g., Disneyland’s $24/hour minimum rising to $26 over the contract and Walt Disney World’s path from $18 toward about $20–$20.50 by 2026—signaling upward movement in hourly pay. These steps are described as meaningful improvements for many frontline roles.
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Healthcare Strength — Company materials outline medical, dental, and vision coverage for many full‑time roles, wellness resources, and (in Central Florida) access to Centers for Living Well clinics and pharmacy. References to mental‑health support and paid time off reinforce a strong core health offering.
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Wellbeing & Lifestyle Benefits — Complimentary theme‑park admission and discounts on hotels, dining, merchandise, and recreation are positioned as signature perks. Education support through Disney Aspire adds notable lifestyle value for eligible hourly employees.
The Walt Disney Company Insights
What We Do
The Walt Disney Company is a leading diversified international family entertainment and media enterprise that operates through segments including entertainment, sports, and experiences.
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