# Sr Machine Learning Engineer **Company**: Disney **Location**: Orlando, FL **Work arrangement**: onsite **Experience**: senior **Job type**: full-time **Salary**: $137,200.00 to $184,000.00 per year **Category**: Engineering **Industry**: Technology **Apply**: https://disney.wd5.myworkdayjobs.com/en-US/disneycareer/job/Orlando-FL-USA/Sr-Machine-Learning-Engineer_10157609?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_bc3dde5a-275 ## Description 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 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 lead 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. ## Skills ### Required - Python - AI/ML development - MLOps - LLMOps - Generative AI - Machine Learning - Statistical Modeling - Deep Learning - Prompt Engineering ### Nice to have - Docker - Kubernetes - Terraform - Vector databases - Embedding technologies --- Source: [Apply at disney.wd5.myworkdayjobs.com](https://disney.wd5.myworkdayjobs.com/en-US/disneycareer/job/Orlando-FL-USA/Sr-Machine-Learning-Engineer_10157609?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)