Disney Internship – Machine Learning Research

Job Description

Job Summary

Disney Research Labs invites passionate and innovative individuals to join our Machine Learning Research Internship program. This internship offers a unique opportunity to work at the forefront of AI and machine learning technologies, contributing to cutting-edge projects that influence Disney’s digital media, entertainment, and research initiatives. Interns will collaborate with world-class researchers and engineers, gaining hands-on experience in developing machine learning models, experimenting with novel algorithms, and applying AI solutions to real-world challenges in media, animation, and interactive entertainment.

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Key Responsibilities

• Assist in designing, developing, and implementing machine learning models for diverse research projects.


• Conduct data analysis, preprocessing, and feature engineering to support model development.


• Collaborate with cross-functional research teams to explore innovative solutions for real-world problems.


• Conduct literature reviews and benchmark current research to inform project development.


• Document research methodologies, experiments, and results for internal and external publications.


• Present findings and insights to technical and non-technical stakeholders.


• Stay up-to-date with the latest advancements in AI and machine learning technologies.

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Required Skills and Qualifications

• Currently pursuing a Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Artificial Intelligence, or related fields.


• Strong understanding of machine learning concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).


• Proficiency in programming languages such as Python, R, or C++.


• Solid knowledge of statistics, probability, and data analysis.


• Experience with data visualization tools and techniques.


• Excellent problem-solving, analytical, and critical thinking skills.


• Strong written and verbal communication skills.

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Experience

• Prior experience in machine learning research, data analysis projects, or AI-related internships is preferred but not mandatory.


• Contributions to open-source projects, academic publications, or personal research projects in ML/AI will be an advantage.

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Working Hours

• Flexible working hours, typically 20–40 hours per week depending on the internship program.


• Remote and on-site options available, depending on eligibility and location.

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Knowledge, Skills, and Abilities

• Ability to work independently and collaboratively in a research-focused environment.


• Strong organizational skills and attention to detail in documenting experiments and results.


• Creativity and curiosity in approaching complex problems with innovative solutions.


• Adaptability to learn new technologies, methodologies, and frameworks quickly.


• Team-oriented mindset with a passion for contributing to high-impact research projects.

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Benefits

• Hands-on experience with cutting-edge machine learning and AI research.


• Mentorship from world-class researchers and access to Disney’s extensive research resources.


• Opportunity to contribute to projects that impact Disney’s global entertainment platforms.


• Networking opportunities with professionals and researchers across Disney’s technology divisions.


• Letter of recommendation and potential for future full-time employment.

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Why Join

Disney Research Labs is a globally recognized hub for innovation, blending creativity with advanced technology. As a Machine Learning Research Intern, you will be part of a dynamic team pushing the boundaries of AI in entertainment and media. This internship provides a rare opportunity to contribute to high-impact research, develop professionally, and gain exposure to Disney’s culture of innovation and excellence.

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How to Apply

• Submit your updated resume, cover letter, and any relevant research portfolio or project links.


• Applications are accepted through the Disney Careers portal or the Disney Research Labs internship webpage.


• Shortlisted candidates may be invited for technical interviews and project-based assessments.

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Job Details