Meta Reality Labs Research is looking for emerging scientists and researchers with interest in full software-hardware co-design of always-on algorithms being deployed on form-factor constrained AR/VR devices. The main objective of this research is to explore methods to push the boundaries of what is possible on our constrained platforms. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Edge Compute Architectures (PhD) Responsibilities:
Support architecture studies, performance analysis, and design studies
Participate in research activities focused on edge compute architecture
Minimum Qualifications:
Currently has, or is in the process of obtaining a PhD in the fields of Electrical Engineering, Computer Engineering, Computer Science, or related field
2+ years research experience in one or more of the following: Machine learning accelerator / inference engine for deep neural networks (DNN), Algorithms to perform low precision arithmetic for deep learning, Quantization and sparsity techniques for efficient, low-precision inference, Computer architecture for mobile and/or embedded systems, Deployment of computer vision methods on embedded systems, Hardware design with Magma, Chisel, Google XLS, or any high level synthesis (HLS) languages
2+ years of experience programming with Python
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications:
Experience developing or optimizing CV and ML algorithms for vision tasks
Experience with Tensorflow, Tensorflow Lite, and Pytorch software stacks
Experience in system modeling for all aspects of a digital system
Experience with synchronous and asynchronous communication protocols (e.g. I3C, CSI-2, SPI, UCIe, PCIe)
Proven track record of achieving significant results as demonstrated by grants, or fellowships, as well as first-authored publications in major conferences and journals such as ICCAD, DAC, ISCA, MICRO, HPCA, ISSCC, TinyML, IEDM, VLSI Symposium, ASPLOS, JSSC, TCAS
Intent to return to degree-program after the completion of the internship
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.
$7,313/month to $11,293/month + 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.
