Computer Vision / Machine Learning Intern (Video Intelligence)

Computer Vision / Machine Learning Intern (Video Intelligence)

Summary

If you are passionate about advancing video understanding, video generation, and photography intelligence, and are driven to pursue excellence, embrace challenges, collaborate with others, and learn new things along the way, Apple is the right place for you. We are looking for engineers who combine deep technical expertise, creativity, and systems thinking to push the boundaries of video intelligence.

Description

The Video Intelligence Intern will join the China Vision Lab under the Video Engineering organization, contributing to the development of on-device computer vision and machine perception technologies across Apple’s ecosystem.

In this role, you will design and implement cutting-edge machine learning systems in areas such as video understanding, video generation, and photography intelligence. You will work on advanced algorithms and models that are optimized to run efficiently across a range of Apple products, including i Phone, i Pad, and Vision Pro.

This position offers a unique opportunity to bridge research and product, delivering state-of-the-art experiences to millions of users. You will collaborate closely with cross-functional teams to drive innovation across the full technology stack and help bring new ideas from concept to production.

Minimum Qualifications

Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical Engineering, or a related field
Strong foundation in computer vision and machine learning
Experience with deep learning frameworks such as Py Torch or Tensor Flow
Solid programming skills in Python and/or C++
Familiarity with video processing, image understanding, or generative models

Preferred Qualifications

Publications in top-tier conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
Solid understanding and industry experiences on computational photography, visual perception or reasoning algorithms, MLLM, diffusion models, etc
Familiarity with optimizing algorithms that run efficiently on mobile/embedded platforms
Strong problem-solving skills and ability to work in a fast-paced environment
Team oriented, result oriented, and self motivated

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace