Apple AR/VR Job | Video Machine Learning Engineer
Job（岗位）: Video Machine Learning Engineer
Citys（岗位城市）: San Diego, California, United States
Date（发布日期）: 2025-1-9
Summary（岗位介绍）
Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other’s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It’s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you’ll do more than join something — you’ll add something.
We are looking for a talent who will join us to craft the future of video. Our team develops cutting edge machine learning technologies and systems that enable intelligent and interactive video experience in Apple’s products, such as FaceTime, Camera, AirPlay, CarPlay, Screen Share, Immersive Reality, etc. You will work closely with a group of highly motivated specialists to develop exciting machine learning technologies that will make a huge impact to customers.
Qualifications（岗位要求）
Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience
Deep understanding and strong experience in designing and optimizing neural networks
Experience in digital image and video processing
Description（岗位职责）
As a video machine learning engineer in our team, you will be responsible for developing ML/DL solutions to enhance or bring new user experiences. You will be deeply involved in developing new or improving existing algorithms; designing neural network architectures; training, optimizing, integrating networks; and coordinating with various teams to ship new technology in Apple products.
Additional Requirements（额外要求）
Strong programming, problem solving, and performance optimization skills
Modern video codec knowledge is a plus
