Machine Learning Engineer

at  Apple

SUMMARY

Posted: May 3, 2024
Role Number:200549813
As a machine learning engineer/researcher on the Apple Vision Pro team, you will orchestrate ground breaking artificial intelligence development and initiatives that are poised to revolutionize spatial computing! Our mission is to leverage computer vision fused with other modalities to understand human interactions with the physical, social, and virtual worlds. Our primary focus revolves around using machine learning for gaze tracking, paving the way for seamless and intuitive user experiences in the spatial computing era. In this pivotal role, you will work with world-class computer vision and machine learning researchers and engineers, as well as the best talents in other domains like silicon, camera technology, and VFX to collectively take on previously unsolved challenges and push the state of the art in the field. As a member of our team, you have the unique and great opportunity to craft upcoming products that will delight and inspire millions of people every day.

KEY QUALIFICATIONS

• Domain expertise in training deep neural nets, such as CNN and transformers and proficiency in least one deep learning framework, for example PyTorch, TensorFlow
• Strong fundamentals in 3D geometry and geometric computer vision
• Strong interpersonal skills and ability to collaborate in a diverse environment
• Publication record in relevant venues (e.g. NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV and etc) or track record of optimally building and shipping computer vision products

DESCRIPTION

Inventing and implementing state of the art computer vision algorithms to solve cutting edge problem. Bring research ideas to production and directly impacting Apple products. Collaborating with other teams in software and hardware to ensure the full pipeline runs efficiently and utilizes Apple hardware effectively. Have the opportunity to and present your work in world-class scientific venues in machine learning.

EDUCATION & EXPERIENCE

BS and a minimum of 3 years relevant industry experience

Please refer the Job description for details