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WDI R&D Imagineering Intern-Data Scientist Vision Machine Learning, Summer 2024

🚀 Summer Internship


AI generated summary

  • You should have experience in Python, AI model development using PyTorch or TensorFlow, data processing, ethical AI principles, and Linux systems. Must be pursuing a degree in Computer Science, possess work authorization, and be able to provide housing in Glendale, CA for the internship.
  • You will support AI software development for new Disney experience concepts, analyze data, construct AI models, document solutions, collaborate with teams, install solutions, and use code collaboration tools.

Summer Internship



  • The R&D Imagineering Intern – Data Scientist Vision Machine Learning supports the development of innovative new Disney entertainment experiences through the creative application of data science and machine learning concepts focused on image and vision applications by selecting algorithms, implementing new methodologies, and formulating solutions to challenging problems! This role assists Walt Disney Imagineering Research & Development project teams with software prototyping, hardware mockups, visualization, concept development, playtests, and park installation!
  • Successful candidates will possess a technical expertise, demonstrated by past project work that showcases one’s abilities to design, develop, and install image and vision focused artificial intelligence solutions.
  • Given the nature of R&D work, being able to thrive in a fast-paced, rapid prototyping environment is a must. Being able to take direction, proactively explore efficient solutions to tasks given, and performing at the upper end of expectations is essential. Furthermore, you will work to support the goals of a project by taking initiative, being flexible, and consistently delivering to or beyond the expectations of your team and the standard set by your peers in this R&D department.


  • Required Qualifications & Skills:
  • Experience using Python or equivalent languages and/or tools for training and deployment of AI models.
  • Experience with Machine Learning and tools such as PyTorch, TensorFlow, or Spark as well as ML model development and implementation.
  • Ability to process structured, semi-structured and unstructured data
  • Ability to use tools like Nvidia Isaac Sim to generate synthetic data
  • Ability to use image sequences and video to generate annotation data for self-supervised and semi-self-supervised Ai model training datasets
  • Demonstrated history of software development projects that showcase one’s ability to design, debug, document, test, and problem solve software solutions
  • Ability to assist in the rapid development of high-quality deliverables on tight timelines while maintaining keen attention to detail
  • Time management skills with the ability to work on multiple tasks and shifting priorities amidst a dynamic and constantly changing innovation environment
  • Positivity, flexibility, and resilience to persevere through multiple iterations, failures as well as successes, in the pursuit of accomplishing the toughest technical or creative challenges without apparent, immediate solutions
  • An understanding of ethical AI principles and how to apply them to dataset and model creation, model testing and deployment.
  • Ability to debug AI model performance through statistical analysis, visualization, and other approaches
  • Linux systems familiarity and proficiency
  • Docker image building and container usage proficiency
  • Demonstrated core understanding of computer vision concepts, such as lens intrinsics and extrinsics.
  • Preferred Qualifications:
  • Experience training 6-dof object pose estimators.
  • Experience training human keypoint detectors or human pose estimators.
  • Experience employing techniques to optimize and reduce neural networks for memory footprint and run-time performance.
  • Understanding of the principles of dataset creation, including dataset design, collection, annotation, quality assurance and verification.
  • Experience Developing Localization and Mapping Applications
  • Education:
  • Working towards a bachelor's or master's degree in Computer Science, Computer Engineering or related subject areas with a demonstrable focus on artificial intelligence methodologies
  • Eligibility Requirements & Program Information
  • Candidates for this opportunity MUST meet all of the below requirements:
  • Be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months at time of application posting OR currently participating in a Disney College Program or Disney Internship.
  • Be at least 18 years of age.
  • Have not completed one year of continual employment on a Disney internship or program.
  • Possess unrestricted work authorization.
  • Provide own housing for the duration internship program in the Glendale, CA area
  • Have reliable transportation to/from work
  • Additional Information:
  • The approximate dates of this internship are May/June 2024 through August/September 2024

Education requirements

Currently Studying

Area of Responsibilities



  • Support the development of new Walt Disney Imagineering R&D experience and technology concepts through vision focused AI software development to help build and support small and large-scale interactive prototypes, mockups, playtesting, and park installs using a variety of industry-standard and Disney-proprietary software and hardware tools.
  • Develops Vision focused AI software solutions by analyzing the goals of the project, studying systems flow, data usage, and work processes.
  • Construct and analyze the graphs and architectures of vision focused AI models
  • Manage and curate large datasets for training of AI models.
  • Use tools like Isaac Sim to generate synthetic data for training AI models.
  • Documents solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
  • Collaborate across diverse cross-functional teams, always communicating clearly and with a positive and inclusive attitude.
  • Installs solutions by determining and designing system specifications, standards, and programming.
  • Use code collaboration tools like github and gitlab to capture and evolve software solutions


Work type

Full time

Work mode