Role overview
Meta builds technologies that 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
What you'll work on
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
- Drive innovation in AR/VR display development by creating and implementing new techniques for advanced test and characterization of emerging concepts.
- Collaborate closely with the Meta Reality Labs uLED team to explore and develop novel solutions for characterizing uLED devices.
- Lead the exploration and development of new techniques in one or more of the following areas: Femtosecond Time-Resolved Photoluminescence (TRPL) Photoluminescence Excitation (PLE) Bidirectional Reflectance Distribution Function (BRDF) Advanced optical testing methods
- Focus on advanced optical characterization, developing and integrating new methodologies into the process of characterizing uLED devices.
What we're looking for
- Experience working and communicating cross functionally in a team environment
- Experience with machine learning, design automation, or reinforcement learning
- 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 CLEO, SPIE, and APS, etc