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

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Jan 5

🚀 Off-cycle Internship


⌛ Closed
Applications are closed

Off-cycle Internship

Research & Development, DataCambridge


Meta Reality Labs Research is looking for experienced interns who are passionate about ground breaking research in audio signal processing, machine learning and audio visual learning to solve important audio-driven problems for AR/VR applications. We currently have multiple open positions for a range of projects in multimodal representation learning, audio visual scene analysis, egocentric audio visual learning, multi-sensory speech enhancement and acoustic activity localization. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.


  • Minimum Qualifications:
  • 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.
  • Experience with Python, Matlab, or similar.
  • Experience with machine learning software platforms such as PyTorch, TensorFlow, etc.
  • 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.
  • Preferred Qualifications:
  • 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.
  • 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.

Education requirements

Currently Studying

Area of Responsibilities

Research & Development


  • 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.


Work type

Full time

Work mode