Sr Machine Learning Engineer
Apply Now Apply Later Job ID 10154204 Location Orlando, Florida, United States Business Disney Experiences Date posted Aug. 20, 2026Job Summary:
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 Florida is $135,200.00-$181,200.00 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 Experiences:
Disney Experiences brings the magic of Disney stories and franchises to life through theme parks, resorts, cruise ships, unique vacation experiences, products and more around the world. Disney shines in the travel industry with six resort destinations in the United States, Europe and Asia; a top-rated cruise line; a popular vacation ownership program; and an award-winning guided family adventure business. Plus, Disney's global consumer products operations include the world's leading licensing business; the world's largest children's publishing brands; one of the world's largest licensors of games across all platforms; and Disney store locations around the world and on the web.
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 Walt Disney Attractions Technology LLC, which is part of a business we call Disney Experiences.
Walt Disney Attractions 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.
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