Research Intern, Embedded AI on Wearables (PhD)

Meta; Redmond; On-site; AUD 20,000 - 31,000; Full time

Job summary

Meta Reality Labs is seeking a Research Scientist intern to help advance real-time embedded software and hardware acceleration for on-device AI in AR glasses.

You will explore areas like computer vision, audio interaction, and large language models, using C/C++ and Python, with cross‑functional collaboration across teams and an emphasis on practical hardware/software co-design.

Qualifications

• Currently pursuing a PhD in Computer Science, Electrical Engineering, or a related field.
• Programming experience with C/C++ and Python.
• Experience with computer architecture and HW/SW co-design and co-optimization.
• Must obtain work authorization in country of employment at time of hire.
• Intent to return to full-time degree program after completion of the internship.
• Experience in HW+SW system prototyping with embedded device prototypes and FPGAs.
• Experience in operating systems, drivers, and embedded firmware development.
• Experience with a machine learning framework, e.g. PyTorch.
• Experience working cross-functionally in a team.
• Demonstrated embedded software experience via an internship, work experience, coding competitions, or open source contributions (GitHub).

Responsibilities

• Help advance SOTA in on-device AI within AR glasses constraints.
• Develop real-time embedded software and hardware acceleration.
• Collaborate across teams to integrate ML models on device.

Skills

C/C++

Python

Embedded software

Cross-functional collaboration

PyTorch

Education

PhD in Computer Science, Electrical Engineering, or related field

Tools

FPGAs

Embedded prototyping

Job description

Our team, within Reality Labs at Meta, brings novel experiences to life on Meta’s AR and AI devices. We were closely involved in the development of multimodal Meta AI on Orion, and we are currently working on the next gen AR glasses.

We are looking for upcoming scientists and researchers with great interest in real-time embedded software development and hardware acceleration to enable on-device AI within the performance, power and form-factor constraints of AR glasses.

Within the vast domain of on-device AI, we are currently focussing on three key areas: computer vision, audio interaction, and large language models. As a Research Scientist intern, you will help us advance the SOTA in one or more of these areas.

• 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 country of employment at the time of hire, and maintain ongoing work authorization during employment
• Intent to return to full-time degree program after completion of the internship
• 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)