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Research Scientist Intern, Multimodal Contextual AI

United States, Sunnyvale 7313.00 - 12134.00 USD / Month · Job Posted January 23, 2026
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Job Description

At Reality Labs, our team brings novel experiences to life on Meta’s AR devices. We are seeking upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device contextual AI within the performance, power and form-factor constraints of AR glasses. Within the vast domain of contextual AI, we are currently focusing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the state-of-the-art in one or more of these areas. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.

Job Responsibility

  • 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

Requirements

  • 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

Nice to have

  • 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
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