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Research Scientist Intern, Audio Quality with AI

Meta· Research
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Cambridge, UKInternPosted 4d ago

About the role

Internship role in Meta Reality Labs Research focused on speech perception and audio quality, investigating why processed speech sounds degraded, leveraging audio vs video multimodal LLMs, and translating findings into actionable insights for research and engineering teams. 12 to 24 weeks with various start dates.

Responsibilities

  • Investigate systematic phonemic errors as causal factors in perceived speech quality degradation, and link them to human perceptual judgments.
  • Build and curate datasets and benchmarks of speech for phoneme-level analysis. Explore and compare the capabilities of audio and video (multimodal) LLMs as tools to support this analysis.
  • Relate findings to human perceptual data (quality preference and intelligibility) and translate them into actionable insights for research and engineering teams.
  • Adapt multimodal models to the task in a supporting capacity. Collaborate with researchers, engineers, and cross-functional partners to define goals, communicate findings, and drive improvements in speech quality.
  • Develop tools and infrastructure to streamline and scale the analysis.
  • Stay current with research in speech perception and audio quality and intelligibility assessment, and incorporate best practices into Meta's workflows.
  • Disseminate results through internal reports and presentations, and, when appropriate, external publications.

Qualifications

  • Currently has, or is in the process of obtaining, a PhD degree in the field of Speech and Hearing Science, Auditory Neuroscience, Computational Neuroscience, Computer Science, Artificial Intelligence, Generative AI, Transformer Models, Machine Learning, Signal Processing or Computer vision
  • Experience with Python, Matlab, or similar
  • Experience with machine learning software platforms such as PyTorch, TensorFlow, etc
  • Background in speech perception, psychoacoustics, or acoustic phonetics
  • Experience deploying novel audio computational models and LLMs
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Skills

Required:Phoneme-level analysisDataset curationPythonMatlabPyTorch/TensorFlowSpeech perception/psychoacoustics
Nice to have:Multimodal model adaptation
Last updated Oct 23, 2026. Interested? Apply on the company site.

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