On-Device AI is a critical part of virtual and augmented reality systems. In this role, you will work inside Meta Reality Labs to enable and optimize a wide range of state-of-the-art deep learning models (including Vision, Speech, Codec Avatars, LLMs, Gen AI, etc.), on a variety of VR & AR devices (including VR headsets such as Meta Quest, Smartglasses like Ray-Ban Meta, EMG Wristbands, and other upcoming products).This role is focused on efficient ML inference via use of edge hardware accelerators. The position requires a combination of expertise in machine learning and software engineering.
Contribute to the development of machine learning libraries, intermediate representations, export formats, and analysis tools
Profile models to analyze performance and power efficiency of deep learning inference workloads
Implement ML operators using low-level instructions & compiler intrinsics
Design and implement embedded systems to facilitate control on data collection pipelines
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience using C/C++ for software development
Hands-on experience in using version control systems (Git, Mercurial)
Experience communicating with fellow engineers to understand project scope
Experience in approaching engineering problems systematically and independently
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications:
Master's or PhD degree in fields related to Computer Science and Engineering
Hands-on experience on development for embedded systems, e.g. on Cortex M-series controllers or DSPs
Experience developing AI-System infrastructure or AI algorithms in C/C++
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 accommodations-ext@fb.com.
$error/year to $error/year + benefits
We apologize for the inconvenience, please be patient as we work to correct the issue.
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.
