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

MetaMetaRedmond, Washington, United States
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Posted

10/9/2026

Employment

Internship

Range

$8k - $13k/month

Work style

On-site

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AI summary

Core responsibilities

Design and implement novel algorithms to address complex audio research problems. Conduct experimental design and execution to evaluate new audio technologies while collaborating across engineering disciplines.

Requirements overview

Candidates must be currently pursuing a PhD in a STEM field with expertise in spatial audio capture algorithms. Proficiency in programming languages such as C/C++, Python, or MATLAB is required.

Key skills

Audio signal processingBinaural audio technologyMicrophone array processingMachine learningBeamformingSpatial audio evaluationSpatial audio codingSpatial audio perceptionC/C++C#PythonMax/MSPMATLABPyTorchTensorFlowUnity

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Education requirements

postgraduate degree

About Meta

Industry

Software Development

Employees

165,373

Type

Public Company

Size

10,001+ employees

Meta's mission is to build the future of human connection and the technology that makes it possible. Our technologies 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 and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology. To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following: • Start with an open mind. Whether you agree or disagree, engage with empathy. • Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect. • Keep it constructive. Use your interactions here to learn about and grow your understanding of others. • Our moderators are here to uphold these guidelines for the benefit of everyone, every day. • If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community). For a full listing of our jobs, visit https://www.metacareers.com

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Job categories

Science & ResearchTechnologyEngineeringSoftwareData & Analytics

Description

The Meta Reality Labs Research Team brings together a world-class team of researchers, developers, and engineers to create the future of virtual and augmented reality, which together will become as universal and essential as smartphones and personal computers are today. And just as personal computers have done over the past 45 years, AR, VR and MR will ultimately change everything about how we work, play, and connect. We are developing all 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. Some of those will advance much faster than others, but they all need to happen to enable AR, VR and MR that are so compelling that they become an integral part of our lives. In particular, the Meta Reality Labs Research audio team is focused on two goals; creating virtual sounds that are perceptually indistinguishable from reality and redefining human hearing. See more about our work here: https://tech.facebook.com/reality-labs/. These two initiatives will allow us to connect people by allowing them to feel together despite being physically apart and allow them to converse in even the most difficult listening environments. The Augmented Capture research team of the Meta Reality Labs Audio is seeking interns to help us create unique audio experiences for virtually reliving and sharing real life experiences using spatial audio capture. Specific projects will be designed in collaboration with successful applicants to align the intern’s skills and experience with current research needs. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year. 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. Minimum Qualifications Currently has, or is 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 Preferred Qualifications 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 $7,650/month to $12,667/month + benefits

Requirements

  • •Audio signal processing
  • •Binaural audio technology
  • •Microphone array processing
  • •Machine learning
  • •Beamforming
  • •Spatial audio evaluation
  • •Spatial audio coding
  • •Spatial audio perception
  • •C/C++
  • •C#
  • •Python
  • •Max/MSP
  • •MATLAB
  • •PyTorch
  • •TensorFlow
  • •Unity

Benefits

  • •Benefits

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