Computer Vision Engineer, Reality Labs

Meta's Reality Labs (RL) is seeking a Computer Vision Engineer to join their innovative AR/VR team. This role sits at the intersection of cutting-edge computer vision, machine learning, and augmented/virtual reality technologies. The position offers an exciting opportunity to work on technologies that will impact billions of users through Meta's suite of products including Quest, Meta Glasses, and their Family of Apps.

The role involves developing sophisticated computer vision and machine learning algorithms for real-time image processing, eye tracking, 3D reconstruction, and scene understanding. You'll be working within the XR Tech organization, focusing on machine perception technologies from concept to production. The position offers unique opportunities to collaborate with renowned research teams from Reality Labs Research (RL-R) and Facebook AI Research (FAIR).

As a Computer Vision Engineer, you'll be tackling complex technical challenges in areas such as SLAM, sensor fusion, object detection, and semantic segmentation. The role requires strong programming skills in C++ and/or Python, along with significant experience in computer vision or machine learning. The ideal candidate will have at least a Master's degree in a relevant field, with a PhD being preferred.

The position offers competitive compensation ranging from $70,670 to $208,000 annually, plus bonus and equity opportunities. You'll be working in Redmond, WA, contributing to Meta's mission of building the next evolution in social technology. This is an excellent opportunity for someone passionate about pushing the boundaries of AR/VR technology while working with world-class researchers and engineers in a collaborative environment.

The role combines practical engineering with research opportunities, allowing you to contribute to cutting-edge developments in the AR/VR field while seeing your work implemented in products used by millions. Meta's strong commitment to innovation in this space makes this an exciting opportunity for someone looking to make a significant impact in the future of human-computer interaction.