[Remote] Research Scientist Intern, Multimodal and Multitasking Machine Learning (PhD)

Note: The job is a remote job and is open to candidates in USA. Meta is a leading technology company focused on connecting people and building communities through innovative applications and services. They are seeking a Research Scientist Intern to work on algorithm and hardware co-design for AI machine learning applications, with a focus on multitasking and multimodal understanding. The role involves researching and optimizing ML algorithms and collaborating with other researchers in the field. Responsibilities Research on design / model / execution of efficient ML algorithms Research on novel ML or computational imaging algorithms for applications and optimize existing algorithms Research on development and optimization of edge computing algorithms (ML and non-ML) Collaboration with and support of other researchers across various disciplines Communication of research agenda, progress and results Prototyping, building and characterizing experimental systems and custom hardware Skills Currently has, or is in the process of obtaining a PhD in the fields of Computer Science, Electrical Engineering, or related field Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment 2+ years research experience in one or more of the following: developing machine learning and computer vision models, optimization of edge computing algorithms, or distributed compute architectures 2+ years experience programming in Python/C++ Experience with Deep Learning frameworks (Pytorch, TensorFlow, etc) Experience in multimodal ML algorithms (object detection, classification, tracking, keyword spotting, ASR, etc) Experience in deploying ML algorithms to real-time with mobile platforms Experience w/ NAS or developing and deploying algorithms with hardware constraints Experience w/ pretraining using self-supervised learning Experience w/ tuning LLM Experience in privacy preserving ML algorithms Proven track record of achieving significant results, as demonstrated by first- and/or co-authored publications at leading workshops or conferences (e.g., CVPR, ICCV, TinyML, NeurIPS, ICML), patents, or grants Intent to return to the degree program after the completion of the internship Benefits Benefits Company Overview Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is