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Disney

Sr Machine Learning Engineer at Disney

Florida · Posted Oct 9, 2026 · Seen live today

$144,100 to $193,200 a year

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About the posting

“The Senior Machine Learning Engineer applies practical knowledge of machine learning, data science, and software engineering to conceive, design, develop, train, and deploy ML models, pipelines, and systems of moderate to high complexity.”

Read the full posting on Disney's site

Seen live Oct 23, 2026; first seen Oct 11, 2026.

Pay in context

This posting lists $144,100 to $193,200 a year, a midpoint of $168,650.

The midpoint is higher than 80 percent of software engineering postings in Florida that list pay.

How long it has been open

Posted Oct 9, 2026, 15 days ago, and seen on Disney's careers page today.

At 15 days old, it is under the 23-day median.

Disney's postings we have seen close took a median of 4 days.

Disney at a glance

Disney has 199 open postings that we can see, 74 in software engineering; 28 percent list pay.

The application

Applying goes through Workday.

This employer's system needs an account on their side; we guide you through the steps.

Seniority

Level: senior.

The posting mentions 5+ years.

Place and cost of living

On site in Florida; prices in FL run 3 percent above the US average.

Similar jobs at similar pay

The software engineering market in Florida

147 software engineering postings in Florida are open right now, from 46 employers.

Half of them have been open 23 days or less.

From Disney's posting

This is Disney's own text, as published on its job board. We last checked it on Oct 23, 2026. Apply on Disney's site. We remove a posting when the employer closes it.

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Job Posting Title

Sr Machine Learning Engineer

Req ID

10154204

Job Description

The Senior Machine Learning Engineer applies practical knowledge of machine learning, data science, and software engineering to conceive, design, develop, train, and deploy ML models, pipelines, and systems of moderate to high complexity. The Senior Machine Learning Engineer owns the design and development of ML solutions and drives their delivery through their own and other engineers’ work. The Senior Engineer provides technical guidance and acts as a point of escalation and as a machine learning expert. The Senior Machine Learning Engineer designs and develops highly scalable ML systems and data pipelines.

Responsibilities

  • Owns the design and development of machine learning models, pipelines, and production ML systems.
  • Drives development of ML components through own and other engineers’ work.
  • Develops technical solutions that meet specifications and that inform future ML initiatives.
  • Executes assigned ML development projects and major model improvements using new or existing technologies.
  • Develops specifications for assigned ML components, projects, or model enhancements.
  • Reviews and writes code for model training, evaluation, and inference pipelines.
  • Participates in setting the architectural direction for ML platforms and data infrastructure.
  • Designs specific ML components for assigned projects, developing specifications for each.
  • Able to build and lead end-to-end ML workflows from data ingestion through model serving.
  • Interacts and coordinates deliverables with data science, data engineering, and product teams across the organization.
  • Designs and develops ML system specifications for assigned projects.
  • Designs component tasks for assigned projects, developing ML-specific specifications for each.
  • Serves as a high-level technical resource and “go-to” person for less experienced ML engineers and data scientists, providing technical guidance and oversight.
  • Leads team members in problem analysis, model debugging, and issue resolution.

Basic Qualifications

  • 5+ years of relevant experience designing, training, and deploying machine learning models in production environments at scale.
  • Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
  • Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
  • Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
  • Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
  • Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
  • Experience with Snowflake is required.

Preferred Qualifications

  • Experience with large-scale recommendation systems, personalization, NLP, or computer vision.
  • Experience with real-time ML inference and low-latency serving architectures.
  • Familiarity with LLMs and generative AI integration in production systems.
  • Experience with Java (e.g., Spring Boot) is a plus.

Required Education

  • Bachelor’s degree in Computer Science, Statistics, Mathematics, or similar field, or related work experience.

The hiring range for this position in California is $144,100 - $193,200 per year, in Washington is $150,900 - $202,400 per year, and in Florida is $137,200.00-$184,000.00 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. Job Posting Segment: DX Technology Job Posting Primary Business: Commerce Primary Job Posting Category: Machine Learning Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: USA - CA - 1200 Grand Central Ave, USA - CA - Disneyland Service - Bldg 700 Complex, USA - WA - 925 4th Ave Date Posted: 2026-06-29

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