Publisher
source

Apple

PhD Research Internships in Efficient Multimodal Models and Video Understanding at Apple ML Research Apple ML Research in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Paid PhD research internship at Apple ML Research lasting 4–10 months (November 2026 to September 2027). No stipend or tuition details are provided.

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Country

United States

University

Apple

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Keywords

Computer Science
Electrical Engineering
Information Technology
Computer Vision
Internship

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About this position

Apple ML Research is hiring PhD Research Interns for work on efficient multimodal models and video understanding. The internship is research-oriented and explicitly aims for high-impact publications.

The team says its work builds on recent research in fast vision-language models, suggesting a strong focus on model efficiency, vision-language modeling, and scalable video/visual understanding. This is a good fit for students interested in computer science, machine learning, computer vision, and multimodal AI.

Duration: 4–10 months, running from November 2026 to September 2027.

Eligibility/preferences: The post does not list formal requirements such as degree stage beyond PhD internship status, GPA, or language tests. It does ask for passionate researchers who want to push the boundaries of efficient multimodal models and video understanding.

How to apply: Use the Apple jobs application link and include #efficient-ml in your resume or cover letter so the team can identify your application. No deadline is stated in the post.

Funding details

Paid PhD research internship at Apple ML Research lasting 4–10 months (November 2026 to September 2027). No stipend or tuition details are provided.

What's required

Looking for passionate researchers with interest in efficient multimodal models and video understanding. The post emphasizes high-impact research and publications; no specific degree, GPA, language, or test requirements are stated.

How to apply

Apply through the Apple jobs link and include #efficient-ml in your resume or cover letter so the team can find your application. Submit the application via the posted careers page.

More information can be found here

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