Apple
Camera Machine Learning Engineer
$185K–$278K
Cupertino, California · Full-time · Posted Sep 24, 2026
- Experience
- 10 years of relevant experience; preferred qualification also states 3+ years of machine learning research or relevant industry experience.
- Education
- Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or related field. Preferred: MS or Ph.D. in Machine Learning, EE, CS, Physics, Optics, or equivalent.
About the job
Develop and evaluate machine learning algorithms for camera hardware, image and video processing, computational photography, and scene understanding.
What you'll do
- Research, design, and implement camera-related machine learning algorithms.
- Work with data collection teams to curate image and video datasets and prepare data for model training and validation.
- Prototype and evaluate algorithms through testing and user feedback.
What they ask for
- Bachelor’s degree in Computer Science, Electrical Engineering, Physics, Optics, or related field.
- Experience with Python and deep learning frameworks like PyTorch.
- Experience with machine learning, computer vision principles, and algorithms.
- Experience with camera and/or image sensor technologies.
Nice to have
- Experience applying deep learning to computer vision tasks such as object recognition, image segmentation, inpainting, and anomaly detection.
- Experience with generative AI, reinforcement learning, or advanced ML methods for hardware design and image quality.
Pay
$184,700 and $277,600 USD base salary
Tools
Python, PyTorch
AI focus
Uses machine learning and computer vision for camera and image processing; preferred work includes generative AI and reinforcement learning to enhance hardware design.
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