Camera Machine Learning Engineer

Machine Learning Engineer role on Apple’s Camera Hardware Engineering team, focused on research through qualification of camera hardware and ongoing ML evaluation of Apple camera products.

Responsibilities

• Research, design, and implement machine learning algorithms for camera tasks such as image and video processing, computational photography, and scene understanding
• Partner with data collection teams to curate large-scale image and video datasets, including data analysis and preprocessing to train and validate ML models
• Build ML algorithm prototypes and validate performance through testing and user feedback
• Own the end-to-end research, design, development, test, and qualification work for camera hardware used in Apple products
• Lead ongoing design evaluation, benchmarking, and characterization of Apple camera products

Requirements

• MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics (or equivalent) and 3+ years of experience in machine learning research or relevant industry experience
• Experience applying deep learning to computer vision tasks including object recognition, image segmentation, inpainting, and anomaly detection
• Experience applying generative AI and reinforcement learning techniques to enhance hardware design processes
• Experience using advanced ML methods to optimize system architectures and improve image quality in the hardware design domain
• Experience with image quality metrics and evaluation methodology
• Knowledge of camera components, camera functions, and the camera ISP pipeline
• Experience with megapixel CMOS image sensor technology, lens selection, and qualification
• Bachelor’s degree in CS, EE, Physics, Optics, or related field plus 10 years of relevant experience
• Experience with Python and deep learning frameworks such as PyTorch
• Working knowledge of machine learning and computer vision principles and algorithms
• Experience with camera and/or image sensor technologies

Technologies

• Python
• PyTorch

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition for formal education related to advancing your career at Apple
• Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
• Discretionary restricted stock unit awards
• Ability to purchase Apple stock at a discount with voluntary participation in the Employee Stock Purchase Plan
• Discretionary bonuses or commission payments and relocation (as applicable)

Pay & Benefits

• Base pay range: $184,700 - $277,600 per year
• Base pay depends on skills, qualifications, experience, and location
• This role might be eligible for discretionary bonuses or commission payments as well as relocation
• Apple benefit, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program

Location: Cupertino, CA (onsite)