Apple
Computer Vision and Machine Learning Engineer
Apple, Cupertino, California, United States, 95014
Computer Vision and Machine Learning Engineer
Cupertino, California, United States
Software and Services
iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As a senior machine learning engineer, you’ll research and develop novel machine learning techniques for image enhancement and restoration, and build new, great camera capabilities across Apple products. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work too!
Description
We are looking for a Computer Vision and Machine Learning Engineer who will join us to build Apple’s next-generation iPhone and iPad camera algorithms. In this role, you will identify and develop machine learning models for solving specific camera applications, and work closely with GPU optimization and frameworks teams on productizing camera features.
Minimum Qualifications
Industry experience in developing machine learning algorithms for computer vision.
Strong programming skills and hands-on experience with Python and deep learning frameworks.
Solid understanding of camera systems and sensors.
Key Qualifications
Extensive knowledge of Camera Processing Pipeline, Computer Vision, Computational Photography, Generative AI, or related areas.
Proven experience in delivering products in Image/Video Enhancement and Restoration (Demosaicing/Denoising/Super-resolution/In-painting).
Strong problem-solving and communication skills.
Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR).
Education & Experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple Footer
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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Cupertino, California, United States
Software and Services
iPhone is the most popular camera in the world, with billions of photos taken every year. The seamless integration of software and hardware has led to camera features like the Photonic Engine, Portrait mode, and Super-high-resolution photos which deliver magical experiences that surprise and delight our customers! The Camera Technologies & Systems team in the Camera & Photos org delivers amazing quality photos and videos by combining state of the art computer vision, image processing, and machine learning. As a senior machine learning engineer, you’ll research and develop novel machine learning techniques for image enhancement and restoration, and build new, great camera capabilities across Apple products. Whenever you see a “Shot on iPhone” billboard, you see our work; it could be your work too!
Description
We are looking for a Computer Vision and Machine Learning Engineer who will join us to build Apple’s next-generation iPhone and iPad camera algorithms. In this role, you will identify and develop machine learning models for solving specific camera applications, and work closely with GPU optimization and frameworks teams on productizing camera features.
Minimum Qualifications
Industry experience in developing machine learning algorithms for computer vision.
Strong programming skills and hands-on experience with Python and deep learning frameworks.
Solid understanding of camera systems and sensors.
Key Qualifications
Extensive knowledge of Camera Processing Pipeline, Computer Vision, Computational Photography, Generative AI, or related areas.
Proven experience in delivering products in Image/Video Enhancement and Restoration (Demosaicing/Denoising/Super-resolution/In-painting).
Strong problem-solving and communication skills.
Publication record in top-tier conferences (e.g., CVPR, ICCV, SIGGRAPH, ECCV, NeurIPS, ICML, ICLR).
Education & Experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.
Apple Footer
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.
#J-18808-Ljbffr