Camera Machine Learning Engineer

Join Apple’s Camera Hardware Engineering team in Cupertino, CA (onsite) and help shape next-generation camera experiences through applied machine learning. This role blends research, hands-on model development, and hardware-focused evaluation, supporting ongoing improvement of Apple camera products from algorithm design through qualification and benchmarking.

What you’ll do

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, then analyze and preprocess data to train and validate ML models effectively.
• Build and evaluate ML algorithm prototypes using rigorous testing and user feedback to measure real-world performance.
• Own the end-to-end research, design, development, test, and qualification of camera hardware for Apple products.
• Take responsibility for ongoing design, evaluation, benchmarking, and characterization of Apple camera products.

Requirements

• MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics (or equivalent) with 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 improve hardware design processes.
• Experience using advanced ML methods to optimize system architectures and improve image quality in a hardware design context.
• Experience with image quality metrics and evaluation methodology.
• Experience with camera components, functions, and the camera ISP pipeline.
• Experience with megapixel CMOS image sensor technology, lens selection, and qualification.
• Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or a related field, plus 10 years of relevant experience.
• Python programming experience and deep learning frameworks such as PyTorch.
• Strong foundation in machine learning and computer vision principles and algorithms.
• Experience with camera and/or image sensor technologies.

Core technologies

• Python
• PyTorch

Compensation & Benefits

Pay: Base pay range for this role is $184,700 to $277,600 per year. Base pay depends on skills, qualifications, experience, and location.

Incentives: This role might be eligible for discretionary bonuses or commission payments as well as relocation (as applicable).

Benefits: Apple offers comprehensive medical and dental coverage, retirement benefits, and a range of discounted products and free services. There is also reimbursement for certain educational expenses, including tuition for formal education related to advancing your career at Apple. You may be eligible to participate in Apple’s discretionary employee stock programs to become an Apple shareholder, including discretionary restricted stock unit awards. If you voluntarily participate in the Employee Stock Purchase Plan, you may be able to purchase Apple stock at a discount. Eligibility requirements and plan terms apply.