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Machine Learning Researcher - Audio

The Audio Programmer City of Westminster, England, United Kingdom · £70K–£80K/yr

Software Development · 2-10 employees

Jun 08
machine-learning Mid (2-5 yrs) Full-time United Kingdom
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About the role

The researcher will conduct deep learning research focused on audio, including the implementation, training, and evaluation of AI models. They will also be responsible for writing research papers and reports to support the development of voice isolation and speech separation technologies.

What they look for

Deep learning Audio signal processing Speech separation Stem separation Machine learning Python PyTorch CNNs RNNs State space models Real-time audio AI research

Requirements

Candidates must hold a PhD or MSc in AI, Machine Learning, Computer Science, or a related field. Strong expertise in real-time audio machine learning, speech separation, and proficiency in Python and PyTorch are required.

Full description

Machine Learning Researcher - Audio

Permanent, full time

Hybrid working from home and Central London

£70-80K

Join a voice technology company as a Machine Learning Researcher and help them to continue developing cutting-edge voice, speech and noise cancellation technologies.

As part of their audio technology research team, you'll be responsible for:

  • Carrying out research on deep learning audio
  • Evaluating and testing AI and ML models
  • Implementing and training models
  • Model research, implementation, training, evaluation and inference
  • Writing reports and research papers

With several products already on the market and thousands of users, this is a great time to join a company at the forefront of voice isolation and speech separation.

Hybrid working pattern with 2-3 days a week in their Central London R&D centre.

Requirements

  • PhD or MSc in AI, Machine Learning, Computer Science, Maths or similar
  • Experience in speech separation or stem separation
  • Strong background in real-time audio machine learning research
  • Detailed knowledge of machine learning and deep learning concepts
  • Real-time audio signal processing / real-time machine learning
  • CNNs, RNNs, state space models
  • Python, PyTorch​

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