Embedded AI - Research Engineer

Meta is seeking an Embedded AI Research Engineer to join their Audio team within RL Research. This role combines expertise in efficient multimodal machine learning and embedded systems, focusing on improving listener hearing through wearable computing technology. The position offers an exciting opportunity to work at the intersection of large-scale machine learning systems and egocentric audio-visual learning.

The role involves collaborating with AI researchers and domain experts to develop cutting-edge solutions in low-compute, low-power ML and computer vision applications. You'll be responsible for optimizing and implementing ML models on accelerators, working with state-of-the-art tools and frameworks like ExecuTorch and TensorFlow Lite.

Meta offers a competitive compensation package ranging from $147,000 to $208,000 annually, plus bonus and equity opportunities. The position is based in Redmond, WA, and is part of the Facebook Reality Labs division, working on groundbreaking AR/VR technologies.

The ideal candidate will have at least 2 years of experience in implementing AI models on edge devices, strong programming skills in C++ and Python, and a deep understanding of SoC architecture. A bachelor's degree in Computer Science or related field is required, with a master's degree preferred.

This role presents an exceptional opportunity to shape the future of wearable computing and audio technology while working with industry-leading experts in a collaborative environment. You'll be at the forefront of developing technologies that directly impact how people interact with and experience sound in challenging environments.