Meta AR/VR Job | Research Scientist Intern, Edge Compute Architectures (PhD) | Quest
Job（岗位）: Research Scientist Intern, Edge Compute Architectures (PhD) | Quest
Type（岗位类型）: Research
Citys（岗位城市）: Redmond, WA
Date（发布日期）: 2024-1-9
Summary（岗位介绍）
Meta 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.
Qualifications（岗位要求）
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
Description（岗位职责）
Support architecture studies, performance analysis, and design studies
Participate in research activities focused on edge compute architecture
Additional Requirements（额外要求）
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
