Research Scientist Intern, Spatial Audio Capture and Reproduction (PhD)

Meta•Redmond, WA

5d•$7,650 - $12,667

About The Position

The Meta Reality Labs Research Team is dedicated to advancing the future of virtual and augmented reality. We are a world-class team of researchers, developers, and engineers working on all the necessary technologies for breakthrough AR glasses and VR headsets, including optics, displays, computer vision, audio, graphics, brain-computer interfaces, haptic interaction, eye/hand/face/body tracking, perception science, and telepresence. Our audio team specifically aims to create virtual sounds indistinguishable from reality and redefine human hearing, enabling deeper connections and improved communication in challenging environments. The Augmented Capture research team within Meta Reality Labs Audio is looking for interns to contribute to creating unique audio experiences for virtually reliving and sharing real-life experiences using spatial audio capture. Specific projects will be tailored to the intern's skills and experience, aligning with current research needs. Internships are typically 12 to 24 weeks long, with flexible start dates throughout the year.

Requirements

Currently have, or are in the process of obtaining, a PhD degree in the field of Acoustics, Computer Science, Mechanical Engineering, Electrical Engineering or related STEM fields
1+ years experience working with spatial audio capture algorithms
Expertise in one or more of the below research areas: Audio signal processing, Binaural audio technology, Microphone array processing, Machine learning for spatial audio applications, Beamforming, Spatial audio evaluation, Spatial audio coding, Spatial audio perception
Coding experience in one or more languages, including but not limited to: C/C++, C#, Python, Max/MSP, or MATLAB
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Nice To Haves

Experience with real-time multichannel audio processing and coding
Experience with machine learning software platforms such as PyTorch, TensorFlow, etc
Experience with Unity, Unreal, CryEngine, or similar game engines
Proven track record of achieving results as demonstrated in accepted papers in top conferences or journals such as ICASSP, WASPAA, InterSpeech, JASA, JAES, etc
Experience working and communicating cross functionally in a team environment
Intent to return to a degree-program after the completion of the internship/co-op

Responsibilities

Design and implementation of novel algorithms to solve audio research problems.
Experimental design, implementation, and execution to evaluate new audio technologies.
Collaboration with and support of other researchers across audio and acoustic engineering disciplines.
Communication of research agenda, progress, and results.