disney · 15 hours ago
Lead Machine Learning Engineer
Orlando, FL
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expDisney Experiences Technology creates immersive digital experiences for the company’s vacation brands. They are seeking a Lead Machine Learning Engineer to design, develop, and deploy AI/ML solutions that drive business value across their entertainment company.
Publishing
Responsibilities
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
Qualification
Required
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
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
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
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
Company
disney
disney.com
11-50 employees
H1B Sponsorship
disney has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (83)
2024 (63)
2023 (96)
2022 (130)
2021 (30)
2020 (40)
Funding
Current Stage
Early StageCompany data provided by crunchbase