Computational Photography/Computer Vision Machine Learning Engineer, Camera & Photos

Apple Inc.; Cupertino, Northern (CA, KY); Hybrid; USD 150,000 - 278,000; Full time

Job summary

Apple Inc. in Cupertino, CA is seeking a passionate machine learning engineer to contribute to the Camera Imaging Algorithms team.

You will research and implement ML techniques for image restoration and fusion, and collaborate with camera hardware, firmware, GPU, and image quality groups to ship cutting-edge imaging features. You will train and deploy deep learning models, combine classical computer vision with modern DL approaches, and help advance Apple’s camera pipeline across devices.

Qualifications

• Strong coding skills in Python; experience in C/C++ a big plus
• Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
• Extensive knowledge in camera processing pipeline, classical computer vision, and computational photography techniques
• Experience with deep learning techniques for image restoration and image fusion (denoising/demosaicing/super-resolution) and frameworks like PyTorch or TensorFlow
• MS/PhD in Computer Vision, Machine Learning, CS, EE, or related fields

Responsibilities

• Research and develop novel machine learning techniques for image restoration and fusion applications
• Develop and train deep learning models for imaging tasks and collaborate with cross-functional teams to ship imaging features
• Leverage classical computer vision and computational photography techniques to improve the Apple camera imaging pipeline

Skills

Python

C/C++

Machine learning

Deep learning

PyTorch

TensorFlow

Education

MS/PhD in Computer Vision or ML or CS or EE

Tools

PyTorch

TensorFlow

Job description

Cupertino, California, United States Software and Services

In the Camera Imaging Algorithms team in the Camera & Photos organization, we are looking for passionate, self-driven computational photography/computer vision machine learning engineers who enjoy both innovating down to the details and collaborating with broader cross-functional teams to bring exciting new imaging technology to our Apple products. We have worked on many core algorithms in the Apple camera imaging pipeline like Deep Fusion, Photonic Engine, SmartHDR, and Panorama. In this role, you will research and develop novel machine learning techniques for various image restoration and image fusion applications and contribute to shipping the most popular camera in the world.

Description

As a machine learning engineer on our team, you will contribute to algorithm design and implementation. You will develop and train deep learning models and collaborate with cross-functional teams like camera hardware, firmware, GPU, and image quality teams to bring your innovative ideas to product. We are seeking a creative and inquisitive engineer who can leverage their knowledge of classical computer vision and computational photography techniques to build deep learning models that help us design the next generation Apple camera imaging pipeline.

Minimum Qualifications

• Strong coding skills in Python; experience in C/C++ a big plus
• Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems
• Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques
• Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution), and experience with deep learning frameworks like PyTorch or TensorFlow
• MS/PhD in Computer Vision, Machine Learning, Computer Science, Electrical Engineering or related fields

Preferred Qualifications

• Excellent verbal and written communication skills
• Creativity and curiosity for solving complex problems.

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.

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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

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Apple accepts applications to this posting on an ongoing basis.