Lead Machine Learning Engineer

Job ID 10137406 Location Orlando, Florida, United States Business Disney Experiences Date posted Jan. 15, 2026

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Job Summary:

At Disney Experiences Technology, our team creates world-class immersive and digital experiences for the Company’s vacation brands, Disney’s Parks and 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 Lead Machine Learning Engineer to design, develop, and deploy high-impact AI/ML solutions that drive measurable business value across our entertainment company. In this role, you will lead complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.

The Lead ML Engineer will report to the ML Engineering Manager.

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 Lead Machine Learning Engineer will design, develop, implement enterprise grade and robust AI/ML solutions, including agentic systems, multi-modal models, RAG, and Responsible AI applications.

This position is in office.

What You’ll Do:

Develop sophisticated, production-scale AI systems, including multi-step agentic workflows and multi-agent orchestration platforms.
Build tools & agents with advanced capabilities in reasoning, planning, and adaptive tool utilization to address complex business challenges.
Drive complete ownership of the AI/ML lifecycle – encompassing implementation, comprehensive testing, deployment, and continuous operational monitoring – delivering projects on schedule and to specification.
Produce high-quality, maintainable code for model training pipelines, evaluation frameworks, and inference services that meet production standards.
Partner strategically with cross-functional stakeholders including product leaders, 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 and championing best practices across AI development, LLMOps, quality assurance, and production deployment.
Design and implement responsible AI frameworks including hallucination detection, safety guardrails, comprehensive evaluation systems, and observability infrastructure to ensure model reliability, accuracy, and ethical deployment.
Establish comprehensive evaluation frameworks for Large Language Models and agent-based systems, measuring model quality, task success rates, safety compliance, and operational effectiveness.
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, particularly 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:

7+ 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.
Strong foundation in machine learning including statistical modeling, supervised and unsupervised learning algorithms.
Advanced skills in prompt engineering with deep understanding of optimization techniques and best practices for LLM interactions.
Expert-level programming proficiency in Python and AI/ML development ecosystems.
Deep expertise in modern AI frameworks including LLM application development and agentic systems (LangChain, CrewAI, or similar).
Comprehensive MLOps experience with hands-on implementation of CI/CD pipelines, model monitoring, versioning, and lifecycle management for both models and agent-based systems.
Production deployment experience on major cloud platforms (AWS, Azure, or GCP) with demonstrated ability to architect and scale cloud-native ML solutions.
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.
Proficiency with industry-standard ML libraries including PyTorch, TensorFlow, Scikit-learn, NumPy, and Pandas.
Outstanding communication and collaboration skills with 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 vector databases and embedding technologies.
Specialized expertise in AI safety and responsible AI using evaluation tools such as Arize, Langfuse, TruLens, or equivalent platforms for hallucination detection, bias mitigation, and model performance assessment.
Experience with advanced ML techniques including reinforcement learning from human feedback (RLHF), model fine-tuning (LoRA, QLoRA), retrieval-augmented generation (RAG), or model distillation and optimization.
Familiarity with real-time data processing and streaming architectures using technologies such as Apache Kafka, Google Pub/Sub, AWS Kinesis, or Azure Event Hubs for building responsive ML systems.

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.

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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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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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Hiring Process

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Explore this Location Orlando, FL

Whether you’re a theme park enthusiast, bird watcher, foodie, water sports fanatic, sun worshipper, arts patron, serious shopper or anything in between,the possibilities are endless in Orlando. And wonder is always within reach.