Role at a glance
- Salary
- $150.4K – $277.6K/yr
- Location
- Sunnyvale, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- BS and a minimum of 5 years relevant industry experience
- Education
- Ph.D Degree in Computer Science, Electrical Engineering or related major
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Role Summary
The machine learning video processing engineer will work with Apple engineers on a dynamic team developing machine learning-based image and video processing technologies for current and future Apple products. The role focuses on video processing and compression technologies for resource-constrained environments.
What You'll Do
- Develop and optimize machine learning based video processing algorithms that work well in 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
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Solid background in Machine Learning and Signal/Image/Video Processing; Excellent programming skills in Python or C/C++; BS and a minimum of 5 years relevant industry experience
Required
- Machine Learning
- Signal/Image/Video Processing
- Python or C/C++
- BS
- 5 years relevant industry experience
Preferred
- Ph.D Degree in Computer Science, Electrical Engineering or related major
- Publication record in top tier conferences
- Experience of deploying neural network to hardware
- GPGPU APIs, preferably Metal, CUDA
- Excellent written and oral communication skills
Original job description
Content provided by the employer
Original job description
Content provided by the employer
Summary
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.
Minimum Qualifications
BS and a minimum of 5 years relevant industry experience
Solid background in Machine Learning and Signal/Image/Video Processing.
Excellent programming skills in Python or C/C++
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.
Pay & Benefits — Sunnyvale, California, United States
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 $150,400 and $277,600, 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. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, 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
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Application Deadline
Apple accepts applications to this posting on an ongoing basis.
About the company
Apple
Large Enterprise
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.
Apple Inc. is a global technology company known for its innovative products and services, including the iPhone, iPad, Mac computers, and Apple Watch. Founded in 1976, Apple has continuously pushed the boundaries of design and functionality, earning a reputation for high-quality consumer electronics and software solutions like iOS and macOS. With a strong commitment to user experience and privacy, Apple also leads in digital services, offering platforms such as the App Store, Apple Music, and iCloud. The company's focus on sustainability and corporate responsibility further enhances its standing as a leader in the technology sector.