Apple AR/VR Job | Computer Vision and Machine Learning Engineer
Job（岗位）: Computer Vision and Machine Learning Engineer
Citys（岗位城市）: Sunnyvale, California, United States
Date（发布日期）: 2025-9-8
Summary（岗位介绍）
The Video Computer Vision organization is working on exciting technologies for future Apple products. Our focus is on real time and low power algorithms to power the next generation of Apple experiences and devices. Specifically, we work with localization and scene understanding that is based on classical computer vision techniques (e.g. SLAM and sensor fusion) in combination with latest Machine Learning based approaches. We have contributed to the ARKit in both iOS and Vision OS devices. We are looking for a talented engineer to help us take our efforts to the next level. In this role, you will work together with similar minds in a unique research and development team where your skills and expertise will be put into the Apple products. This role is highly multi-functional and you will work very closely with various highly skilled software development / ML teams developing groundbreaking algorithms.
Qualifications（岗位要求）
BS and a minimum of 3 years relevant industry experience.
Programming in C++.
Familiarity with classical and machine learning based computer vision.
Description（岗位职责）
You will create computer vision algorithms and deliver technologies with applications to augmented reality and device localization that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos – they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.
Additional Requirements（额外要求）
MS or PhD in computer vision, machine learning, robotics, or related fields.
Solid foundation in classical computer vision. Key areas of interest include 3D computer vision, SfM (Structure from Motion) and SLAM (Simultaneous Localization and Mapping).
Experience in developing, training and tuning domain specific ML model related to computer vision.
Proficiency in Python and PyTorch.
