Research Scientist Intern, Multimodal Contextual AI (PhD)

Meta

Posted 3 months ago

Internship

Redmond, Washington

In Person

Smart Summary

Responsibilities

Build and characterize experimental hardware and software systems on AR device prototypes. Develop embedded firmware and software within RTOS and mobile operating systems to enable on-device contextual AI.

Qualifications

You are currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field. You possess programming experience in C/C++ and Python, along with a strong understanding of computer architecture and HW/SW co-design and co-optimization.

Must Have Skills for ATS

C++

Python

Computer Architecture

HW/SW Co-design

RTOS

AOSP

FPGA

Machine Learning

PyTorch

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.

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


Minimum Qualifications
  • 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 Qualifications
  • 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


$7,313/month to $12,134/month + benefits

Meta

Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies 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. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com
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