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About the role

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

Required Skills

pythonmachine learningcomputer visionsignal processingpytorchtensorflowaudio processingspeech enhancementmultimodal learning

About the Role

This is a PhD-level research scientist internship focused on audio, machine learning, and computer vision for AR/VR applications at Meta Reality Labs. The intern will develop novel algorithms for audio processing, speech enhancement, and multimodal learning. Responsibilities include research, algorithm design, experimentation, and cross-disciplinary collaboration.

Key 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
  • Communication of research agenda, progress, and results

Required Skills & Qualifications

Must Have:

  • Currently has, or is in the process of obtaining, a PhD degree in Computer Science, AI, 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

Nice to Have:

  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories
  • 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
  • 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