Camera ML Engineer — Computational Photography Lead

Apple Inc.; Cupertino (CA); On-site; USD 185,000 - 278,000; Full time

Benefits offered by this job

Stock options

Employee Stock Purchase Plan

RSU awards

Relocation assistance

Education reimbursement

Job summary

Apple Inc. in Cupertino, CA is seeking a Machine Learning Engineer for the Camera Hardware Engineering group. You will lead ML research, design and testing for camera hardware, collaborating with hardware, software and image processing teams to advance Apple’s camera technology.

The role emphasizes data-driven development, benchmarking and qualification of camera products, with opportunities to influence image quality and ISP pipelines across devices.

Qualifications

• Bachelor’s degree in CS/EE/Physics/Optics with 10 years of relevant experience.
• Experience with Python programming and deep learning frameworks like PyTorch.
• Experience with camera and image sensor technologies and ML for vision.

Responsibilities

• Research, design, develop, test and qualify camera hardware ML systems.
• Collaborate with hardware, software and image processing teams on camera tasks.
• Prototype and evaluate ML algorithms for image and video processing and computational photography.

Skills

Python

PyTorch

Computer Vision

Camera/Image Sensor Technologies

Education

Bachelor’s degree in CS/EE/Physics/Optics

MS or PhD in ML/EE/CS/Physics/Optics

Tools

PyTorch

Camera system development tools

Job description

Apple Inc. in Cupertino, CA is seeking a Machine Learning Engineer for the Camera Hardware Engineering group. You will lead ML research, design and testing for camera hardware, collaborating with hardware, software and image processing teams to advance Apple’s camera technology.

The role emphasizes data-driven development, benchmarking and qualification of camera products, with opportunities to influence image quality and ISP pipelines across devices.