Machine Learning Video Processing Engineer

Apple • Cupertino, CA

15h

About The Position

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. Your responsibilities include but not limited to: -
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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees