Research Engineer - On-Device Contextual AI
About The Position
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. 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 WhatsApp 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.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Master's degree in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience
- 5+ 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
Nice To Haves
- 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
- Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences or equivalent practical experience
Responsibilities
- Plan and execute engineering development to advance the state-of-the-art in machine perception research for Contextual 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 complex, system-level, multi-component issues that typically span across multiple layers from sensor to application
- Lead major initiatives, projects, rollouts and phased releases
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Broadcasting and Content Providers
Number of Employees
5,001-10,000 employees
