Job Abstract

We live in a mobile and device-driven world where Deep Learning technology enables a new class of applications. Are you passionate about enabling unique user experiences on Apple products; such as Apple Vision Pro, iPhone, iPad, Apple Watch and the Mac? Imagine the countless possibilities powered by Artificial Intelligence! In the Video Engineering team, we are dedicated to providing hardware acceleration using the new proprietary Apple Neural Engine SOC to enable real time, low power and high performance execution of Deep Learning workloads. Our success is the result of very dynamic people working in an environment which cultivates creativity, partnership and cross-functional collaboration. These elements come together to make Apple an amazing environment for motivated people to do the greatest work of their lives! Will you help us design the next generation of revolutionary Apple Products?

Rich experiences in 2D / 2.5D / Video computer vision algorithms covering one of the topics: Video Understanding / Video Foundation Model / Video-based transformer / Video Depth and LightingSolid understanding of state-of-the-arts in Video Understanding and familiar with the challenges of developing algorithms that run efficiently on resource constrained platformsProven prototyping skills and proficient in coding (C, C++, Python)Excellent written and verbal communications skills, be comfortable presenting research to large audiences, and have the ability to work hands-on in multi-functional teamsYou should be motivated and results-oriented

The computer vision machine learning engineer will work in a dynamic team as part of the Video Computer Vision org which develops on-device computer vision and machine perception technologies across Apple’s products. We balance research and product to deliver the highest quality, state-of-the-art experiences, innovating through the full stack, and partnering with cross-functional teams to influence what brings our vision to life and into customers hands.

• Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, SIGGRAPH)• Expertise in working with at least one deep learning framework, for example, PyTorch, TensorFlow