Logo
Apple Inc.

VIO / SLAM Engineer

Apple Inc., Sunnyvale, California, United States, 94087


Imagine what you could do as a VIO / SLAM Engineer here. At Apple, novel machine learning ideas have a way of becoming phenomenal products, services, and customer experiences quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Here is your opportunity to be part of an incredible research and engineering team building the next generation of advanced algorithms for sensing technologies in iPhone, Apple Watch, iPad, and more. We are looking for smart, creative applied machine learning scientists with expertise in deep learning algorithms for image or time-series data. Working knowledge of signal processing, probabilistic modeling, statistics, and embedded programming will broaden your role and effectiveness in this position.Description

The Video Engineering organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundary of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world. 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.Minimum Qualifications

BS and a minimum of 3 years relevant industry experience.Programming and system building skills.Understanding of Simultaneous Localization and Mapping.Preferred Qualifications

PhD in Computer Science, Electrical and Computer Engineering, Aerospace, Mechanical Engineering, Math, or Physics.Comparable industry experience delivering products that use state-of-the-art SLAM and computer vision techniques.Solid foundation in computer vision, and in particular 3D geometric computer vision and/or activity detection and recognition.Excellent background in math and machine learning and experience on turning concepts into state-of-the-art systems able to deal with the complexity of the real world.SLAM/VIO - Simultaneous Localization and Mapping experience.Traditional ML or deep learning domain knowledge for the above areas is a plus.Solid programming skills with C/C++.Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

#J-18808-Ljbffr