Machine Learning Video Engineer

Want to work on cutting edge technology that keeps the customer front and

center? The Video Engineering group at Apple is responsible for creating the

image/video core technologies used in almost all Apple products and services. As

a machine learning engineer, you’ll be developing machine learning based

technologies for the image and video domain. As a member of a fast-paced team,

you will also have the unique and exciting opportunity to shape upcoming

products that have direct customer impact and will delight and inspire millions

of people every day!

DESCRIPTION

This role requires an independent, self-motivated, and creative engineer with

deep expertise in machine learning, coupled with a strong understanding of video

and image processing quality. Your primary focus will be applying cutting-edge

machine learning techniques to complex image and video challenges to create

customer impact across current and future Apple products. In this role, you’ll

work both independently and collaboratively with team members to prototype

innovative deep learning applications for video processing, presenting and

demonstrating your work to cross-functional teams and leadership alike. You’ll

be responsible for designing sophisticated model architectures, fine-tuning

performance parameters, and implementing architectural modifications to enhance

overall output quality. Working closely with the team, you’ll focus on

seamlessly porting solutions across different platforms while optimizing models

for memory efficiency, power consumption, and processing speed to balance

quality in operating constraints. Additionally, you’ll strategically distribute

computational workloads across CPU, GPU, Apple Neural Engine, and other

specialized hardware components to develop robust, viable solutions.

MINIMUM QUALIFICATIONS

BS and a minimum of 3 years relevant industry experience Excellent fundamentals

in machine learning Knowledge of Video or Image processing or Computer Vision

Solid programming skills for common ML frameworks like PyTorch or TensorFlow

PREFERRED QUALIFICATIONS

Experience in prototyping models for edge devices through quick iterations

Familiarity with productization flow for ML models Prior experience working on

deep learning techniques for video processing / computer vision. Strong

fundamentals in Computer architecture Good written and oral interpersonal skills