The point where experts and best companies meet
Apple Machine Learning Video Processing Engineer United States, California, Cupertino 784579719
18.11.2024
Share
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. 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.
Minimum Qualifications
- Masters degree in Computer Science, Electrical Engineering, or related major.
- Familiar with Signal Processing, Machine Learning, CPU architecture, and Operating System.
- Python, Java, or C/C++ programming skills.
Preferred Qualifications
- 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.
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $143,100 and $264,200, and your base pay will depend on your skills, qualifications, experience, and location.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.
These jobs might be a good fit
