Staff GenAI/ML Engineer – Emerging Tech, AI Automation

The Walt Disney Company

Staff GenAI Engineer accelerating innovation across Disney through research and prototyping in Generative AI and Large Language Models. Collaborating with teams to build scalable proof-of-concepts that support enterprise-wide transformation.

Posted 5/20/2026full-timeBurbank • California, Florida, Washington • 🇺🇸 United StatesLead💰 $171,600 - $230,100 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflow

About the role

Key responsibilities & impact

Stay current with advancements in machine learning, GenAI, and cloud-native tooling
Contribute to technical strategy, patent filings, and the development of reusable frameworks
Lead design and rapid prototyping of GenAI-enabled solutions
Evaluate and integrate LLMs and modern GenAI techniques into enterprise use cases
Lead architecture discussions, conduct model performance evaluations, and implement best practices in MLOps
Design and build reusable PoCs, pilots, and platform components leveraging modern GenAI/ML frameworks
Work closely with business groups to understand their business objectives, use cases and challenges
Embed directly with teams including product managers, researchers, and engineering teams
Develop and maintain automation and AI platform components
Mentor junior engineers and foster a culture of experimentation, documentation, and continuous learning

Requirements

What you’ll need

7+ years of experience in software engineering or ML/AI engineering
2+ years hands-on with GenAI or LLM technologies
Strong written and verbal communication skills
Hands-on experience deploying solutions in cloud environments (AWS, Azure, or GCP)
Proven experience working on AI/ML, GenAI, automation, or advanced data platform initiatives
Advanced proficiency in Python
Hands-on experience with ML frameworks (PyTorch, TensorFlow, HuggingFace Transformers, or LangChain)
Deep knowledge of GenAI techniques including prompt engineering, RAG pipelines, LLM evaluation and fine-tuning LLMs
Experience designing and building scalable AI/ML systems
Strong understanding of MLOps best practices and experience with tools like MLflow, Kubeflow, Docker, and Kubernetes
Must be detail oriented, self-organized, and capable of simultaneously prioritizing multiple efforts

Benefits

Comp & perks

A bonus and/or long-term incentive units may be provided as part of the compensation package
Full range of medical, financial, and/or other benefits
No guarantee of permanent placement after 24 months

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningGenAIcloud-native toolingPythonML frameworksprompt engineeringRAG pipelinesLLM evaluationfine-tuning LLMsscalable AI/ML systems

Soft Skills

strong written communicationstrong verbal communicationdetail orientedself-organizedprioritizationmentoringcollaborationcontinuous learningexperimentationdocumentation