Job Details

Role Number: 200653673-3956

Summary

Do you love taking on big challenges that require exceptionally creative solutions?
The Camera & Depth Architecture organization is responsible for research, design, and specifications of cameras and sensors for iPhone and other Apple products. As part of our machine learning team, you will play a vital role in prototyping foundational machine learning tools that bridge the camera hardware and software, in order to build flawless camera technology innovations and experiences that we are known worldwide.

Description

In this role, you will innovate foundational machine learning algorithms for computational photography and computer vision, to research, design and qualify novel cameras and sensors for future Apple products, in collaboration with a wide spectrum of top engineers across Apple.

Minimum Qualifications

• BS in electrical, optical or computer engineering/science, and a minimum of 3 years relevant industry experience

• Experience with software coding in Python.

• Experience with one of the following: machine learning/deep learning systems, computer vision, graphics, computational imaging applications.

• Experience with Pytorch.

Preferred Qualifications

• MS/PhD in computer vision, electrical, optical or computer engineering or related fields.

• Experience or strong personal curiosity with designing imaging and sensing systems.

• Strong independent problem-solving and communication skills.

• Solid understanding of machine learning, deep learning fundamentals and optimizations; practical expertise in designing, training and improving deep neural networks.

• Experience with cutting edge computer vision and machine learning research trends and models.

• Experience with two or more of the following: ISP (image signal processing), 3A (AE, AF, AWB), diffusion models, multi-modal, generative AI, sensor fusion, sensor physics, differentiable rendering, 3D rendering.

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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .