Apple
Machine Learning Video Processing Engineer
Apple, Cupertino, California, United States, 95014
Machine Learning Video Processing Engineer
Cupertino, California, United States
Hardware
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! This 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 a passion for video processing and compression technologies. Your responsibilities include but are not limited to:
Develop, implement, and optimize machine learning based video processing algorithms that work well in 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.
Key Qualifications
Preferred Qualifications
Experience with performance (power and speed) optimization: GPGPU SIMD programming.
Knowledge of deploying neural networks 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. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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.
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Cupertino, California, United States
Hardware
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! This 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 a passion for video processing and compression technologies. Your responsibilities include but are not limited to:
Develop, implement, and optimize machine learning based video processing algorithms that work well in 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.
Key Qualifications
Preferred Qualifications
Experience with performance (power and speed) optimization: GPGPU SIMD programming.
Knowledge of deploying neural networks 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. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
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.
#J-18808-Ljbffr