Apple Inc.
Computer Vision/Machine Learning Engineer
Apple Inc., Cupertino, California, United States, 95014
Computer Vision/Machine Learning Engineer
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.At Apple's Camera algorithm team we are looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras. As part of the team, you will work on core camera/ISP/Machine learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here you will have the chance to define the way the Apple camera captures, processes, and renders outstanding still image and video quality. Our close-knit team fosters an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like the Silicon Design, camera HW, and QA. Our team environment is multifaceted, fast-paced and requires a self-starter attitude.DescriptionIn the algorithm developer role, you will engage tasks in one or more of the following fields:Scene Understanding and auto exposure.ISP algorithm development and ISP tuning.Architecture, configuration and pixel processing tuning.Tone rendering/grading for targeted display, and remapping between SDR and HDR displays with fidelity.Auto white balance and color management.Machine learning solution development for real-time image processing, with low latency and low power consumption.Minimum QualificationsSelf-driven and passionate for image quality excellence!Deep understanding and appreciation of sensor characteristics, optics, and image signal processing of the mobile imaging system, and their influence nuance to final image and video quality.Devotion to disciplined and time sensible practice from problem identification to concept validation and engineering implementation with tools of theories and image processing techniques, including machine learning.Preferred QualificationsMS/PhD in Computer Science, Electrical Engineering, or Imaging Science, Ph.D preferred.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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Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.At Apple's Camera algorithm team we are looking for extraordinary algorithm engineers to work on the image capture and processing/rendering algorithms that serve all Apple product cameras. As part of the team, you will work on core camera/ISP/Machine learning technologies based on Apple crafted image signal processing pipeline and HW components, such as the Apple Neural Engine. Here you will have the chance to define the way the Apple camera captures, processes, and renders outstanding still image and video quality. Our close-knit team fosters an environment of product innovation, rapid product iteration, and collaboration, at both team and multi-functional levels, granting you a liberating amount of autonomy. We work closely with various teams, like the Silicon Design, camera HW, and QA. Our team environment is multifaceted, fast-paced and requires a self-starter attitude.DescriptionIn the algorithm developer role, you will engage tasks in one or more of the following fields:Scene Understanding and auto exposure.ISP algorithm development and ISP tuning.Architecture, configuration and pixel processing tuning.Tone rendering/grading for targeted display, and remapping between SDR and HDR displays with fidelity.Auto white balance and color management.Machine learning solution development for real-time image processing, with low latency and low power consumption.Minimum QualificationsSelf-driven and passionate for image quality excellence!Deep understanding and appreciation of sensor characteristics, optics, and image signal processing of the mobile imaging system, and their influence nuance to final image and video quality.Devotion to disciplined and time sensible practice from problem identification to concept validation and engineering implementation with tools of theories and image processing techniques, including machine learning.Preferred QualificationsMS/PhD in Computer Science, Electrical Engineering, or Imaging Science, Ph.D preferred.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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