Research Engineer - Contextual AI

In this role, you will adapt and deploy advanced real-time smart glasses algorithms on custom embedded computer vision/machine learning processors.

You will then make them available to an extensive internal and external user community.

Qualifications: Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Degree must be completed prior to joining Meta Master's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience 4+ years of experience working in large scale C++ and Python code base 4+ years of experience in developing and prototyping machine perception Experience in implementing computer vision algorithms for efficient execution on embedded systems Demonstrated examples of delivering an end-to-end system rather than a single component Experience developing, debugging, and shipping software products on large code bases that span platforms and tools Experience with low-level programming (DSPs, MCUs, etc) and mobile accelerators Experience with device to cloud low latency applications Experience with cloud edge computing Experience in zero-to-one blank slate projects Responsibilities: Execute engineering development to advance the state-of-the-art in machine perception research for Contextualized Al, both on-device and on back-end Collaborate closely with researchers, engineers, and product managers across multiple teams at Meta to design, architect and implement prototypes Debug system-level, multi-component issues that typically span across multiple layers from sensor to application