What are the responsibilities and job description for the Machine Learning Video Processing Algorithm Engineer position at Apple, Inc.?
Imagine the impact you can make. A billion users will use the technologies you helped craft almost daily. At Apple, you will have the opportunity to work on products that are always leaders in the industry and occasionally change the world! Our group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services. We are looking for a highly self-motivated and enthusiastic engineer who is able to excel in a technically challenging environment to fill in the position of machine learning video processing engineer.
In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies.
BS and a minimum of 5 years relevant industry experience\nSolid background in Machine Learning and Signal/Image/Video Processing. \nExcellent programming skills in Python or C/C
Ph.D Degree in Computer Science, Electrical Engineering or related major\nPublication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)\nExperience of deploying neural network to hardware.\nExperience with GPGPU APIs, preferably Metal, CUDA\nExcellent written and oral communication skills.
In this role you will work with Apple engineers in a dynamic team developing machine learning based image/video processing technologies for current and future Apple products. This position requires a highly self-directed engineer with strong creative and analytic skills and passion for video processing and compression technologies.
BS and a minimum of 5 years relevant industry experience\nSolid background in Machine Learning and Signal/Image/Video Processing. \nExcellent programming skills in Python or C/C
Ph.D Degree in Computer Science, Electrical Engineering or related major\nPublication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)\nExperience of deploying neural network to hardware.\nExperience with GPGPU APIs, preferably Metal, CUDA\nExcellent written and oral communication skills.