Sr Machine Learning Engineer
The Walt Disney Company
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Job summary
The Walt Disney Company is hiring a Senior Machine Learning Engineer in Orlando to design, build, and deploy scalable AI/ML solutions across Disney Experiences. You will own production-grade AI systems, lead LLMOps/MLops, and collaborate with product managers, data scientists, and partners to deliver high-impact outcomes.
The role emphasizes CI/CD, observability, Responsible AI, and cross-functional leadership in a fast-evolving environment.
Qualifications
- 5+ years of designing, building, and deploying AI/ML solutions at scale, with 1–2 years in Generative AI.
Responsibilities
- Own the operational backbone of the AI/ML platform — design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.
- Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible.
- Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.
- Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification.
- Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment.
- Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.
- Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform.
- Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.
- Provide hands‑on technical leadership, driving architectural decisions across AI development, LLMOps , quality assurance, and production deployment.
- Proactively identify and resolve technical blockers that could impact project timelines or deliverables.
- Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.
- Engage directly in development and problem‑solving on high‑complexity technical challenges to maintain project velocity and quality.
- Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.
Skills
Education
Tools
Job description
Job ID 10157609 Location Orlando, Florida, United States Business Disney Experiences Date posted Oct. 09, 2026
At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey , Disney!
The team is seeking a results-oriented and hands-on Senior Machine Learning Engineerto design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.
The Senior ML Engineer will report to the ML E ngineering Manager .
This position is in office .
About The Role & Team:
The DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of. The Senior Machine Learning Engineer will design, develop, implement ente r prise grade and r obust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications .
What You'll Do:
Own the operational backbone of the AI/ML platform — design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.
Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible.
Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.
Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification .
Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment.
Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.
Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform.
Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.
Provide hands-on technical leadership, driving architectural decisions across AI development, LLMOps , quality assurance, and production deployment.
Proactively identify and resolve technical blockers that could impact project timelines or deliverables.
Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.
Engage directly in development and problem-solving on high-complexity technical challenges to maintain project velocity and quality.
Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.
Basic Qualifications:
5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1–2 years of production experience in Generative AI technologies.
Comprehensive MLOps / LLMOps experience with hands-on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.
Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud-native ML solutions.
Expert-level programming proficiency in Python and AI/ML development ecosystems.
Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.
Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.
Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting-edge deep learning approaches.
Production-grade Generative AI experience deploying and maintaining LLMs and multi-modal models in live environments.
Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly-evolving situations.
Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross-functional alignment.
Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.
Proven ability to influence and lead in matrix organizations where collaboration and relationship-building are essential to achieving outcomes.
Preferred Qualifications:
Experience with container orchestration and infrastructure-as-code (Docker, Kubernetes, Terraform) for ML workloads.
Experience with vector databases and embedding technologies.
Required Education:
Bachelor's degree in Computer Science , Machine Learning, Mathematical Sciences, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Preferred Education:
Master's degree or Ph.D in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
#DISNEYTECH
#LI-AF2
Job Summary:
At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey , Disney!
The team is seeking a results-oriented and hands-on Senior Machine Learning Engineerto design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.
The Senior ML Engineer will report to the ML E ngineering Manager .
This position is in office .
About The Role & Team:
The DXT AI Technology Platform team is responsible for building an AI enablement platform for the DX segment that provides streamlined AI & Generative AI capabilities for the segment to build solutions around and on top of. The Senior Machine Learning Engineer will design, develop, implement ente r prise grade and r obust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications .
What You'll Do:
Own the operational backbone of the AI/ML platform — design and run the CI/CD pipelines, model/agent versioning, automated deployment, rollback, and release management that move systems from experimentation to production reliably and repeatably.
Stand up comprehensive observability and monitoring infrastructure — model/agent performance, drift, data quality, latency, cost, and reliability — with alerting and automated remediation where possible.
Develop production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms, and operationalize them end to end.
Drive complete ownership of the AI/ML lifecycle — implementation, testing, deployment, and continuous operational monitoring — delivering projects on schedule and to specification .
Design and implement Responsible AI frameworks — hallucination detection, safety guardrails, evaluation systems, and observability — to ensure model reliability, accuracy, and ethical deployment.
Establish evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.
Champion LLMOps and MLOps best practices — infrastructure-as-code, reproducibility, automated testing, and environment parity — across the platform.
Partner strategically with cross-functional stakeholders including product managers, data scientists, application teams, vendors, and partners to align on requirements, iterate on solutions, and deliver successful outcomes.
Provide hands‑on technical leadership, driving architectural decisions across AI development, LLMOps , quality assurance, and production deployment.
Proactively identify and resolve technical blockers that could impact project timelines or deliverables.
Communicate technical strategy and progress to executive leadership and key stakeholders with clarity and confidence.
Engage directly in development and problem‑solving on high‑complexity technical challenges to maintain project velocity and quality.
Drive innovation through research and experimentation with emerging AI technologies and frameworks, evaluating and integrating new capabilities that advance our platform.
Basic Qualifications:
5+ years of proven expertise in designing, building, and deploying AI/ML solutions at scale, with 1–2 years of production experience in Generative AI technologies.
Comprehensive MLOps / LLMOps experience with hands‑on implementation of CI/CD pipelines, model and agent monitoring, versioning, observability, and lifecycle management in production.
Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with a demonstrated ability to architect, scale, and operate cloud‑native ML solutions.
Expert‑level programming proficiency in Python and AI/ML development ecosystems.
Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.
Advanced skills in prompt engineering with a deep understanding of optimization techniques and best practices for LLM interactions.
Versatile ML skillset spanning traditional techniques (classification, regression, clustering) and cutting‑edge deep learning approaches.
Production‑grade Generative AI experience deploying and maintaining LLMs and multi‑modal models in live environments.
Exceptional analytical capabilities with a track record of solving complex technical problems and thriving in ambiguous, rapidly‑evolving situations.
Outstanding communication and collaboration skills with the ability to translate complex technical concepts for diverse audiences and drive cross‑functional alignment.
Success partnering across organizational levels from individual contributors to senior leadership, building trust and delivering results.
Proven ability to influence and lead in matrix organizations where collaboration and relationship‑building are essential to achieving outcomes.
Preferred Qualifications:
Experience with container orchestration and infrastructure‑as‑code (Docker, Kubernetes, Terraform) for ML workloads.
Experience with vector databases and embedding technologies.
Required Education:
Bachelor's degree in Computer Science , Machine Learning, Mathematical Sciences, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
Preferred Education:
Master's degree or Ph.D in Artificial Intelligence, Machine Learning, Mathematical Sciences, Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
#DISNEYTECH
#LI-AF2
The hiring range for this position in FL is $137,200.00 to $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.
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.
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.
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.
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Heroes Work Here reflects the long history of respect and appreciation Disney has for the U.S. Armed Services. We recognize the commitment and dedication it takes to serve your country, both as military personnel and military spouses, and value the leadership skills and sense of purpose it has instilled in you.
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