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Research Scientist Intern - Audio - Machine Learning and Computer Vision - PhD

Meta

$7,650 - $12,134
Sep 7, 2025
Redmond, WA, USA
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Meta Reality Labs Research is looking for experienced interns to solve important audio-driven problems for AR/VR applications by conducting groundbreaking research in audio signal processing, machine learning, and audio-visual learning.

Requirements

  • 3+ years experience with Python, Matlab, or similar
  • 3+ years experience with machine learning software platforms such as PyTorch, TensorFlow, etc
  • 2+ years experience building novel computational models in audio or audio-visual or speech application domains using machine learning or signal processing
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. Github)
  • Strong background in statistical modeling techniques and / or signal processing
  • Proven track record of achieving results as demonstrated in accepted papers at top computer vision and machine learning related conferences such as CVPR, ECCV, NIPS, ICASSP, InterSpeech etc

Responsibilities

  • Research, model, design, develop and test novel audio and speech processing algorithms using machine learning, signal processing, and computer vision
  • Collaborate with researchers and engineers across diverse disciplines
  • Design and implementation of novel algorithms to solve audio research problems
  • Experimental design, implementation, and execution to evaluate new audio technologies
  • Collaboration with other researchers across audio and acoustic engineering disciplines
  • Communication of research agenda, progress, and results

Other

  • Currently has, or is in the process of obtaining, a PhD degree in the field of Computer Science, Artificial Intelligence, Signal Processing, Machine learning, Computer vision, Electrical Engineering, Applied Math, Acoustics Engineering or a related STEM field
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
  • 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