System Engineer Intern - Efficient On-Device ML Computing

Meta Reality Labs (RL) is a pioneer in the field of Augmented Reality (AR) and Virtual Reality (VR) devices and experiences. Artificial Intelligence (AI) and on-device Machine Learning (ML) have been instrumental in driving this innovation. The Wearable System Architecture team within RL is dedicated to enhancing the power and performance of on-device ML execution through the development of custom ML accelerators, optimization of ML models, and the implementation of innovative system architectures. We are looking for skilled interns with experience in developing, profiling, and optimizing ML models for edge devices running on RTOS and AOSP. The ideal candidate will have a strong background in computing architecture, with a focus on ML accelerators and parallel computing. In this role, you will be exposed to end-to-end use case analysis and optimization, from UI to software/firmware frameworks, ML models, and underlying hardware blocks. Through detailed profiling and analysis, you will contribute to the optimization of ML models and the development of next-generation ML accelerators and Wearable system architecture. Our internships are twelve (12) to sixteen (16) weeks long.