SUMMARY

Posted: Feb 20, 2025
Weekly Hours: 40
Role Number:200579642
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 leaning 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.

PREFERRED 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).
• M.S. or Ph.D. in Imaging, Color, Vision, Computer, Optics Science, EE, or equivalent with 3+ years of experience in a related field.

Please refer the Job description for details