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Form of workMeta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization.We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. Meta Reality Labs Research is looking for upcoming scientists and researchers with great interest in algorithm/hardware co-design and acceleration of AI machine learning applications, efficient sensing, and ML algorithms for AR/VR applications. Our team specializes in developing state-of-the-art hardware optimized algorithms for machine perception. With the vision of metaverse, our team is focusing on cutting edge systems that can facilitate AI assistants. This internship will focus on aspects of foundational AI technologies around multimodal understanding (audio, visual, spatial, etc), multitasking, privacy, or others that support AI assistant functionalities.Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.
- 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 Science, or related field
- 2+ years of experience programming with Python
- 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 inference, Computer architecture for mobile and/or embedded systems, Deployment of computer vision methods on embedded systems or Hardware design with Magma, Chisel, Google XLS, or any high level synthesis (HLS) languages
Preferred Qualifications:
- Experience developing or optimizing CV and ML algorithms for vision tasks
- Experience with Tensorflow, Tensorflow Lite, and Pytorch software stack
- 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 ISCA, MICRO, HPCA, ISSCC, TinyML, IEDM, VLSI Symposium, ASPLOS, JSSC, TCAS
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 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.
