What are the responsibilities and job description for the Computer Vision Software Engineer, Camera & Photos position at Apple, Inc.?
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!\\n\\nThe 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 an engineer on our team you'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a "Shot on iPhone" billboard, you see our work; it could be your work, too!
Strong background in computational photography.\nKnowledge and experience using Computer Vision to solve real-world problems.\nExperience with camera pipeline.\nExcellent coding skills in C or C .\nStrong verbal and written communication skills.\nMS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering
Familiarity with multiple-camera systems and 3D geometry.\nExperience with Machine Learning
As an engineer on our team you'll develop and extend those software features, working side-by-side with the exceptional engineers who made iPhone's camera what it is today, and build new extraordinary camera capabilities spanning the universe of Apple devices. Whenever you see a "Shot on iPhone" billboard, you see our work; it could be your work, too!
Strong background in computational photography.\nKnowledge and experience using Computer Vision to solve real-world problems.\nExperience with camera pipeline.\nExcellent coding skills in C or C .\nStrong verbal and written communication skills.\nMS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering
Familiarity with multiple-camera systems and 3D geometry.\nExperience with Machine Learning