Computer Vision/Machine Learning Engineer (Capture Intelligence) at Apple

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

01 Jun, 26

Salary

0.0

Posted On

03 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Machine Learning, Visual Reasoning Algorithms, Imaging Ai, Camera Control, Vla, C, C++, Python, Prototyping, Visual Perception, Semantic Understanding, Decision Intelligence, Research, Product Development, Full Stack Innovation

Industry

Computers and Electronics Manufacturing

Description

If you are the kind of people who are passionate on pursuing excellence, embracing challenges, enjoying work with others, learning new things along the way, Apple is the right place for you. 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: Visual Reasoning Algorithms / Imaging AI / Camera Control / VLA 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 Publications in top-tier conferences (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH) Industry experiences with imaging AI, visual perception or 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

Responsibilities

The engineer will design and implement machine learning systems focused on understanding scenes and user intent before and during photo or video capture within the Video Engineering organization. This role bridges visual perception, semantic understanding, and decision intelligence to enable smart capture experiences while balancing research and product delivery.