Video Machine Learning Engineer

Company: Apple
Company: Apple
Location: San Diego, California, United States
Department: Software and Services
Posted on: 2024-05-02 06:01
Summary Posted: May 1, 2024 Role Number: 200549501 Imagine what you could do here! At Apple, new insights have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you bring passion and dedication to your job? If so, we are looking for individuals like you. We are looking for talent who will join us to craft the future of video. Our team develops cutting edge machine learning technology and system that enable intelligent and interactive video experience in Apple’s products, such as Photos, Camera, Spotlight, FaceTime, AirPlay, SideCar, TV+, etc. You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact in the products. Key Qualifications Key Qualifications Deep understanding in neural network, strong experience in designing and optimizing networks 5+ years experience in image and video processing Strong programming, debugging and problem solving skills Description Description As a video machine learning algorithm engineer in our team, you will be responsible for developing machine learning technologies, implementing and optimizing the solution, and shipping it in the products. You will be responsible for developing new algorithms, improving existing ones, designing neural network architectures, training, implementing, integrating and optimizing networks, etc. Education & Experience Education & Experience MS Computer Science or MS Electrical Engineering or equivalent Additional Requirements Additional Requirements More This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future. 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.
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