Sr Machine Learning Engineer
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Job Posting Title:
Sr Machine Learning Engineer
Req ID:
10157609
Job Description:
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 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 Senior complex, cross-functional projects with a strong emphasis on reuse, scalability, reliability, and performance.
The Senior ML Engineer will report to the ML Engineering 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 enterprise grade and robust 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 $135,200.00 to $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.
Job Posting Segment:
DX Technology
Job Posting Primary Business:
Tech Delivery, Platforms, & Core Systems
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:
Date Posted:
2026-08-20
About The Walt Disney Company
The Walt Disney Company started as a cartoon studio and evolves into sports coverage and television shows.
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