Reality Labs Research (RLR) brings together a world-class team of researchers, developers, and engineers to create the future of augmented and virtual reality, which together will become as universal and essential as smartphones and personal computers are today. Just as personal computers have done over the past 45 years, AR and VR will ultimately change everything about how we work, play, and connect. We are developing the technologies needed to enable breakthrough AR glasses and VR headsets, including optics and displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and true telepresence. The audio team within RLR is looking for an experienced, innovative hearing research scientist with a specialty in machine learning to join our growing team in Redmond, WA. You will be leading and conducting research on spatial audio perception, quality, and modeling as part of a growing team of scientists, researchers, post-docs, and PhD student interns.
Research Scientist – Auditory Perception (PhD)
Responsibilities
- Conduct research to advance the science and technology of audio perception
- Develop training/validation/testing pipelines to generate robust models for high-dimensional spatial audio and/or human auditory perception
- Design and conduct listening tests and other perceptual experiments with human participants
- Develop novel computational approaches to solve complex research problems in the areas of spatial audio and/or human auditory perception
- Collaborate with and support other research scientists and engineers within the audio team and the larger RLR organization
- Influence progress of relevant research communities by producing publications
- Contribute research that can be applied to Meta product development
- Lead and collaborate on research projects with external academic groups to advance our research goals
Minimum Qualifications
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently has, or is in the process of obtaining, a PhD in Experimental Psychology, Audio Engineering, Acoustics, Machine Learning, Computer Science, Computer Engineering, Computational Neuroscience, Cognitive Science, Electrical Engineering, Perception or a related field
- 2+ years experience with development and implementation of audio processing methods
- 3+ years experience with scientific programming languages such as MATLAB Python, C++, or similar
- Experience with implementing Neural networks or Active learning or Deep Bayesian learning or Gaussian Process models or related approaches
- Proven track record of communicating research in an academic or industrial setting
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
Preferred Qualifications
- Experience with audio signal processing applied to spatial audio
- Experience with auditory perception
- Experience with building computational models on acoustic datasets
- Proven track record of achieving significant results and innovation as demonstrated by first-authored publications and/or patents
About Meta
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.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
Job Type: Full Time
Job Location: US