At Walt Disney Imagineering Research and Development, the business problem is to explore new ways to connect with guests and surprise them by applying world-class technology, including generative AI and intelligent agent concepts, to create new guest-facing experiences and tools for Imagineers and Cast Members.
Requirements
- Experience with generative models and AI agent architectures.
- Strong programming skills in Python and experience with machine learning libraries such as PyTorch or TensorFlow.
- Experience with reinforcement learning, prompt engineering, and fine-tuning generative models.
- Experience with AI-assisted tools in architecture, entertainment, or XR applications.
- Track record of technology transfer, patents, or deployed AI systems.
- Contributions to open-source projects or prior work in research labs or innovation teams.
- 5+ years of experience conducting applied ML/AI research and prototyping solutions in academic, entertainment, or industrial settings.
Responsibilities
- Implement and support prototypes of generative AI tools and intelligent agents for creative and technical tasks (e.g., visual synthesis, simulation, asset generation, design assistance).
- Develop and maintain software pipelines that integrate AI models into real-time environments (e.g., Unity, Unreal) or design toolchains (e.g., Figma, Houdini, Blender).
- Collaborate with researchers to translate conceptual models and experimental algorithms into working code and functional systems.
- Optimize, test, and document systems to support evaluation and deployment within Imagineering teams.
- Participate in the integration of AI models with APIs, databases, internal tools, and creative software.
- Troubleshoot and iterate on system performance and usability based on feedback from cross-disciplinary collaborators.
- Translate scientific insights into working prototypes
Other
- Excellent collaboration, problem-solving, and communication skills with the ability to present complex ideas to multidisciplinary teams.
- Demonstrated ability to bridge theoretical research with real-world implementation.
- A desire to work in a creative environment where technical and creative experts collaborate and challenge each other every day to achieve truly groundbreaking solutions
- Mentor junior team members and contribute to the technical direction of AI initiatives within the lab.
- Partner with interdisciplinary teams to ensure AI applications empower rather than constrain artistic and storytelling processes.
