Computer Vision/Machine Learning Algorithm EngineerWant 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 Computer Vision / Machine Learning Algorithm 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.
Description As a CV/ML engineer, you will develop new technologies for Apple's next generation products. The focus will be innovating and delivering effective, efficient and well-tested computer vision based solutions from prototyping to shipping that are often deployed on edge devices. 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. You will work together with similar minds in a unique team where your skills and expertise can be used to influence future user experiences and hardware that will be used by millions.
Minimum Qualifications Background in machine learning and deep learning.Proficiency in Python programming.Experience using ML frameworks such as TensorFlow and PyTorch.BS and a minimum of 3 years of industry experience.Preferred Qualifications Excellent communication and collaboration skills.Creativity and curiosity for solving highly complex problems.Experience in biometrics, face tracking, gaze tracking, classical image processing, or computer vision.Familiarity with cloud technologies is a plus.MS or PhD in related field.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.
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