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Computer Vision/Machine Learning Engineer (Photography Intelligence)

Apple· Video Engineering (China Vision Lab)
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BeijingFull-timePosted 7mo ago

About the role

Role within Apple’s Video Engineering org, China Vision Lab, focusing on on-device computer vision and machine perception for smart photography and videography. Design and implement ML systems that understand scenes and user intent before and during capturing photos/videos; bridge visual perception, semantic understanding, and decision intelligence; collaborate cross-functionally to bring vision to life on Apple devices.

Responsibilities

  • Build SOTA capture intelligence models in Visual Reasoning, Computational Photography, Camera Control, VLA, MLLM, etc
  • Optimize models for real-time on-device video processing
  • Collaborate with hardware team to integrate ML models into Apple devices
  • File patents and papers in related area

Qualifications

  • M.S. or PhD in Electrical Engineering/Computer Science or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or machine learning
  • Rich experiences in video machine learning covering one of the topics: Computational Photography / Visual Reasoning Algorithms / VLM or MLLM / Camera Control
  • Proven prototyping skills and proficient in coding (C, C++, Python)
  • Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teams

Skills

Required:Computer VisionMachine LearningProgramming
Last updated Jun 26, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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