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.

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 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

Preferred Qualifications

* 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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