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.
Responsibilities
- Execute engineering development to advance the state-of-the-art in machine perception research for Contextualized AI, 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
Minimum 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 MetaMaster's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience4+ years of experience working in large scale C++ and Python code base4+ years of experience in developing and prototyping machine perceptionExperience in implementing computer vision algorithms for efficient execution on embedded systemsDemonstrated examples of delivering an end-to-end system rather than a single componentPreferred Qualifications
Experience developing, debugging, and shipping software products on large code bases that span platforms and toolsExperience with low-level programming (DSPs, MCUs, etc) and mobile acceleratorsExperience with device to cloud low latency applicationsExperience with cloud edge computingExperience in zero-to-one blank slate projects