AR/VR Audio & Vision Research Intern (ML & CV)

Meta

Cambridge

Presencial

GBP 21 000 - 30 000

Tempo integral

Há 2 dias
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Resumo da oferta

Meta Reality Labs Research invites experienced interns to tackle ground breaking audio signal processing, machine learning and audio-visual learning for AR/VR. Opportunities span multimodal representation learning, scene analysis and egocentric audio-visual learning across 12 to 24 weeks with multiple start dates yearly.

Applicants should be pursuing a PhD in a related STEM field, have strong Python/ML experience, and be capable of collaborating across teams while maintaining work authorization.

Qualificações

  • PhD-level candidate in Computer Science or related STEM field, in progress or completed.
  • 3+ years experience with Python, Matlab, or similar.
  • 3+ years experience with ML platforms such as PyTorch, TensorFlow.
  • 2+ years experience building novel models in audio, audio-visual, or speech domains.
  • Ability to obtain work authorization in the country of employment.
  • Demonstrated software engineering experience via internship or open source contributions.
  • Strong background in statistical modeling and/or signal processing.
  • Record of results in top CV/ML conferences (e.g., CVPR, ECCV, NIPS, ICASSP).
  • Experience working cross-functionally and intent to return to degree-program after internship.

Conhecimentos

Python
Matlab
PyTorch
TensorFlow
Machine Learning
Signal Processing
Statistical Modeling

Formação académica

PhD in Computer Science or related STEM field

Descrição da oferta de emprego

Meta Reality Labs Research invites experienced interns to tackle ground breaking audio signal processing, machine learning and audio-visual learning for AR/VR. Opportunities span multimodal representation learning, scene analysis and egocentric audio-visual learning across 12 to 24 weeks with multiple start dates yearly.

Applicants should be pursuing a PhD in a related STEM field, have strong Python/ML experience, and be capable of collaborating across teams while maintaining work authorization.

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