Reality Labs Research (RL-R) brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing XR and AI across the spectrum. The Surreal research group at RL-R is seeking exceptional engineers to solve the next generation of research challenges on the path to building future machine perception enabled technologies. We are looking for talented engineers to architect and build the next-generation research device of Project Aria. We are building this research device to understand the world from a human's perspective and lay the foundation for Contextual AI experiences on future AI & AR glasses.In this role you will design, analyze, and optimize the performance of Contextual AI algorithms on the next-generation Aria prototype. You will focus initially on low-power on-device custom compute implementations, and then extend the optimization to the phone and cloud-based processing chains.

Research Engineer Responsibilities:

• Analyze and optimize real-time computer-vision and machine learning algorithms across a heterogeneous compute fabric in a custom Meta system-on-chip
• Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions
• Effectively communicate complex features and systems in detail
• Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of real-time Contextual AI research
• Debug complex problems that span multiple compute systems
• Globally optimize system performance under multiple constraints of low power, low latency, and limited memory
  
  

Minimum Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Significant experience in one or more of the following areas: embedded systems, real-time systems, artificial intelligence, machine learning, robotics, computer vision
• Significant experience in programming languages with a technical background
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
• Significant experience in mentoring/influencing engineers across organizations
• 12+ years of experience coding experience in C, C++ and/or Python
  
  

Preferred Qualifications:

• Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences
• Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning
• Experience in shipping computer vision or image processing products to millions of customers or have started a new line of product
• Experience in rapid prototyping of systems that span devices and backend services
  
  

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.

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 [email protected].

$213,000/year to $293,000/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.