Video Machine Learning Engineer
Apple, Inc. - San Diego, California, United States, 92154![Apple, Inc.](/api/image?src=https%3A%2F%2Fgeneral-board-default.s3.us-east-2.amazonaws.com%2Fpublic%2Fimages%2Fdesk-360x180.webp&w=640&q=75&f=webp)
Work at Apple, Inc.
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Check below to see if you have what is needed for this opportunity, and if so, make an application asap.Posted: May 1, 2024Role Number:
200549501Imagine 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 systems that enable intelligent and interactive video experiences 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 on the products.DescriptionAs 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.Key QualificationsDeep understanding of neural networks, strong experience in designing and optimizing networks5+ years of experience in image and video processingStrong programming, debugging, and problem-solving skillsEducation & ExperienceMS in Computer Science or MS in Electrical Engineering or equivalentAdditional RequirementsThis 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. Learn more about your EEO rights as an applicant.
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