Research Scientist Intern, Wireless Research (PhD)

Meta•Sunnyvale, CA

3d•$7,313 - $12,667

About The Position

Meta Reality Labs brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Meta’s mission of connecting the world. The Reality Labs Wireless Team is looking for research interns who have a deep understanding of wireless technology to drive the state-of-the-art for AR/VR products.

Requirements

Currently have, or are in the process of obtaining a PhD in Electrical Engineering with focus on wireless technology, e.g., Antenna / Electromagnetics, RF / Microwave, Wireless System, Signal Processing, Wireless Sensing
Coursework or hands-on experience in at least one of the following: Intro to ML (Machine Learning) and Fundamentals of AI/ Natural language processing
Experience with software development in Matlab, Python, or equivalent
Interpersonal experience: cross-group and cross-culture collaboration
4+ years of experience in research
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

Nice To Haves

Ability to communicate complex research in a clear, concise and actionable manner
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications
Familiarity building AI tools and agentic workflows to automate hardware development
Familiarity with AR, MR platforms

Responsibilities

Working with the Wireless and cross functional teams to develop new wireless technologies.
Researching, developing and prototyping wireless sensing modalities in AR/VR devices.
Support the design of hardware prototypes and data collection studies.
Apply signal processing and machine learning tools to analyze datasets.
Develop demonstrations to cross-functional teams.
Communicate results to a wide range of audiences.