Video Machine Learning Engineer

Apple • Cupertino, CA

4h

About The Position

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 coding and processing. 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.

DESCRIPTION

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.

Requirements

• Master's degree in Electrical Engineering or Computer Science or 3 years of equivalent work experience Experience in digital video processing Modern video codec knowledge Deep knowledge and experience in designing and optimizing neural networks

Nice To Haves

• Strong programming, problem solving, and performance optimization skills Experience in utilizing AI in programming

Responsibilities

• developing ML/DL solutions to enhance or bring new user experiences
• developing new or improving existing algorithms
• designing neural network architectures
• training, optimizing, integrating networks
• coordinating with various teams to ship new technology in Apple products

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level