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Research Scientist Intern, Audio, Machine Learning and Computer Vision (PhD)

Meta

10/19/2025

Redmond, WA

Internship


Job Description

Meta Reality Labs Research is looking for experienced interns passionate about groundbreaking research in audio signal processing, machine learning, and audio visual learning for AR/VR applications.

Requirements

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

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

Benefits

  • Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.
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