Research Scientist Intern, Embedded Contextual AI on Wearables (PhD)

About the role

Reality Labs seeks Research Scientist interns with expertise in real-time embedded software development and hardware acceleration to work on contextual AI within AR devices.

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

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

Qualifications

• 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

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. We are moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Equal Employment Opportunity

We are proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Benefits

Meta offers benefits. Learn more about benefits at Meta.