Camera Machine Learning Engineer

Role Number: 200684944Team: HardwareLocation: CupertinoPosted: 2026-09-24SummaryAre you a passionate Machine Learning Engineer with a deep love for photography? Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for millions of users worldwide. As a key player in our innovative team, you will collaborate closely with hardware, software, and image processing specialists to develop cutting-edge camera technologies.DescriptionAs a Machine Learning Engineer in the Camera Hardware Engineering group you will be responsible for all research, design, development, test, and qualification of camera hardware for Apple products. This team is seeking an experienced Machine Learning Engineer with a background in Camera and image sensor technologies. You will bring your expertise to the team and be responsible for ongoing design, evaluation, benchmarking and characterization of Apple camera products.Minimum QualificationsBachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or related field and 10 years of relevant experience Experience with Python programming and deep learning frameworks like PyTorchExperience with machine learning and computer vision principles, and algorithms.Experience with camera and/or image sensor technologies.Preferred QualificationsMS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent and 3+ years of experience in machine learning research or relevant industry experienceExperience with applying deep learning to various computer vision tasks, such as: Object recognition, Image segmentation, Inpainting, and Anomaly detectionExperience in applying generative AI and reinforcement learning techniques to enhance hardware design processes. Experience with using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain.Experience with image quality metrics and evaluation methodologyExperience with camera components, functions, and the camera ISP pipelineExperience with megapixel CMOS image sensor technology, lens selection, and qualificationPay & BenefitsAt 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 $184,700 and $277,600, 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. Learn more about Apple BenefitsNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.EEO StatementApple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 applicantAccessibilityAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplaceLearn about reasonable accommodations for job applicantsApplication DeadlineApple accepts applications to this posting on an ongoing basis.