Apple AR/VR Job | Machine Learning Software Engineer - Biometrics
Job（岗位）: Machine Learning Software Engineer - Biometrics
Citys（岗位城市）: Sunnyvale, California, United States
Date（发布日期）: 2025-3-21
Summary（岗位介绍）
Want to ship amazing experiences in Apple products? Be part of the team in the Video Computer Vision (VCV) organization that focuses on people understanding from real-time video streams and building higher level reasoning algorithms. VCV delivered biometric features such as Face ID and Optic ID as well as many other computer vision algorithms powering Apple Vision Pro, iPhone, and iPad. We focus on a balance of research and development to deliver Apple quality, state-of-the-art experiences. Come shape Apple products as a driven and dedicated Software Engineer to push the limits of biometric ML algorithms with hands-on work and real world and simulated data in an innovative team and be part of building the next big thing.
Qualifications（岗位要求）
BS and a minimum of 3 years relevant industry experience.
Proficiency in writing clean and well-structured code in C++.
Python programming experience.
Experience with software engineering processes and lifecycle, including design, implementation, testing, and CI/CD.
Description（岗位职责）
As a Software Engineer at Apple, you will be at the forefront of developing and integrating advanced computer vision technologies for next-generation products. Your role will involve designing, implementing, and optimizing efficient, real-time solutions that run on edge devices, ensuring they meet Apple’s high standards for performance and reliability. You’ll work across the entire development cycle—from prototyping innovative ideas to delivering production-ready systems.
Besides domain expertise and technical knowledge, the ideal candidate will possess the self-motivation, curiosity, and initiative to achieve those goals. Analogously, the candidate is a lifelong learner who passionately seeks to improve themselves and the quality of their work.
Additional Requirements（额外要求）
Excellent communication and collaboration skills.
Experience in classical image processing or classical/DL computer vision is a plus.
Familiarity with cloud technologies is a plus.
