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.

Research Engineer

Contextual AI 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

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

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.

$58.65/hour to $181,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.