Spatial Audio Research Intern: Capture & Reproduction

Meta; Redmond (WA); On-site; USD 34,000 - 48,000; Full time

Job summary

Meta Reality Labs Audio internship seeks a PhD candidate to design and implement novel algorithms for spatial audio research, including experimentation and evaluation of new audio technologies. The role involves collaboration with researchers across audio and acoustic disciplines, and communication of research progress.

Applicants should have ML and programming skills, experience with spatial audio, and a track record of publications.

Qualifications

• PhD or in progress in Acoustics, CS, ME, EE or related STEM fields.
• 1+ years experience working with spatial audio capture algorithms.
• Expertise in audio signal processing, binaural audio, microphone array processing, ML for spatial audio, beamforming or spatial audio coding/perception.
• Coding experience in C/C++, C#, Python, Max/MSP, or MATLAB.
• Must have work authorization and experience with real-time multichannel audio processing and ML platforms such as PyTorch/TensorFlow.
• Experience with Unity, Unreal, CryEngine or similar game engines.
• Proven publications in top conferences/journals (ICASSP, WASPAA, Interspeech, JASA, JAES).
• Ability to work cross-functionally in a team and communicate results.
• Intent to return to a degree-program after internship.

Responsibilities

• Design and implementation of novel algorithms to solve audio research problems.
• Experimental design, implementation, and evaluation of new audio technologies.
• Collaborate with researchers across audio and acoustic engineering disciplines.
• Communicate research agenda, progress, and results.

Skills

Spatial audio

Machine learning

Real-time audio

Cross-functional teamwork

Education

PhD in Acoustics/CS/ME/EE

Tools

PyTorch

TensorFlow

Unity

Unreal Engine

CryEngine

Max/MSP

MATLAB

Job description

Meta Reality Labs Audio internship seeks a PhD candidate to design and implement novel algorithms for spatial audio research, including experimentation and evaluation of new audio technologies. The role involves collaboration with researchers across audio and acoustic disciplines, and communication of research progress.

Applicants should have ML and programming skills, experience with spatial audio, and a track record of publications.