Machine Learning Video Processing Algorithm Engineer

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.

Description

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.","responsibilities":"Develop and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.

Work on pre & post-processing for training/testing/validation, model quantization and distillation.

Investigate the latest learning-based low-level vision technologies and tasks.

Preferred Qualifications

Ph.D Degree in Computer Science, Electrical Engineering or related major

Publication record in top tier conferences (e.g., CVPR, ICCV, ICIP, SIGGRAPH, etc)

Experience of deploying neural network to hardware.

Experience with GPGPU APIs, preferably Metal, CUDA

Excellent written and oral communication skills.

Minimum Qualifications

BS and a minimum of 10 years of relevant industry experience.

Solid background in Machine Learning and Signal/Image/Video Processing.

Excellent programming skills in Python or C/C++

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .