About the Role

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.

Responsibilities

• Develop, implement, and optimize machine learning based video processing algorithms that work well in the resource-constrained environments.
• Work on data collection and pre-processing for training/testing/validation.
• Investigate the latest learning-based low-level vision technologies and tasks.

Minimum Qualifications

• BS and a minimum of 3 years relevant industry experience.
• Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.
• Python, Java, or C/C++ programming skills.

Preferred Qualifications

• PhD in Computer Science, Electrical Engineering, or related major.
• Experience with performance (power and speed) optimization: GPGPU SIMD programming.
• Knowledge of deploying neural network to hardware.
• Experience with multithread NEON / SIMD.
• Experience with GPU APIs preferably Metal, CUDA, OpenGL, and/or OpenCL.
• Excellent written and oral communication skills.

Equal Opportunity

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.