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Meta · 1 week ago

Research Scientist Intern, Multimodal Contextual AI (PhD)

Sunnyvale, CA

Internship

Onsite

Intern

$7,313/mo - $12,134/mo

Meta is a technology company that builds immersive experiences to connect people and grow businesses. They are seeking a Research Scientist Intern to advance the state-of-the-art in multimodal contextual AI, focusing on areas such as computer vision, audio interaction, and large language models. The role involves building experimental systems, developing embedded firmware, and collaborating with other researchers and engineers.

Computer Software

Comp. & Benefits

Responsibilities

Build and characterize experimental HW+SW systems on AR devices and device prototypes

Develop embedded firmware and software in RTOS and mobile operating systems, e.g. AOSP

Collaborate with other researchers and engineers across various disciplines

Qualification

C/C++PythonEmbedded firmware developmentComputer architectureMachine learning frameworksHW/SW co-designCross-functional communicationResearch collaborationPrototyping with FPGAs

Required

Currently has, or is in the process of obtaining a PhD in Computer Science, Electrical Engineering, or a related field

Programming and simulation experience with languages such as C/C++ and Python

Experience with computer architecture and HW/SW co-design and co-optimization

Must obtain work authorization in the country of employment at the time of hire, and maintain on-going work authorization during employment

Preferred

Experience in HW+SW system prototyping using embedded device prototypes and FPGAs

Experience in operating systems, drivers, and embedded firmware development

Experience working in a machine learning framework, e.g. PyTorch

Experience working and communicating cross functionally in a team environment

Demonstrated embedded software experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)

Intent to return to degree-program after the completion of the internship/co-op

Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar