Computer Vision/Machine Learning Engineer (Capture Reasoning)

Summary

If you are the kind of person who is passionate about pursuing excellence, embracing challenges, collaborating with others, and continuously learning new things along the way, Apple is the right place for you.

The ideal candidate will possess self-motivation, curiosity, and initiative to drive technical excellence and deliver impact through both research and engineering.

Description

The capture reasoning algorithm engineer will work in China Vision Lab as part of the Video Engineering org which develops on-device computer vision and machine perception technologies across Apple’s products. The role is responsible for designing and implementing machine learning systems that understand the scene as well as user intent before and during capturing photos or videos. It bridges visual perception, semantic understanding, and decision intelligence, enabling smart capture experience. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.

Minimum 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: Video Understanding / Reasoning Algorithms / Imaging AI / Camera Control in ISP Pipeline
• 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

Preferred Qualifications

• Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)
• Industry experiences with imaging AI, visual perception and reasoning algorithms
• Strong foundation in optics, imaging signal processing, or image systems
• Solid understanding of state-of-the-arts in imaging AI, visual perception, and reasoning algorithms, and familiar with the challenges of developing algorithms that run efficiently on resource constrained platforms
• 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.