Audio/Speech ML Research Engineer (PhD Intern)


IC Resources

Listed on

2nd April





Start Date


Audio/Speech ML Research (PhD Intern)

I am seeking a PhD student within the field of audio and speech machine learning research to join our client in a 6-month internship starting from summer 2024. An excellent opportunity to work on the research and software development of on-device AI methods, alongside subject matter experts in the field. Note that for this position, you must be able to work on-site in Surrey, England at least 3 days a week and you’ll get a chance to see your work deployed globally into real-world consumer products.

Primary responsibilities

Innovate & develop state-of-the-art solutions to industry relevant problems in the field of on-device machine learning

Work on complex systems and develop research ideas into production ready software

Required experience

  • Must be currently working towards your PhD in Computer Science, Mathematics or similar with strong machine learning and audio/speech fundamentals, and have first author publications in top ML/AI conferences/journals such as ICML, NeurIPS, ICLR, CVPR, SysML, INTERSPEECH, IEEE TPAMI, IEEE IoT, IEEE TNNLS, JMLR
  • Research specialism in one of the following: Speech Recognition, Speech Enhancement, Audio Processing and Generation, Generative AI
Desired experience
  • A proven track record of developing complex training and inference pipelines
  • Knowledge of embedded and/or distributed machine learning methods and tools
  • Experience with model optimisation, profiling and performance improvement of AI pipelines
  • Contribution to open source software libraries
What’s on offer
  • 6 month paid internship starting in Summer 2024
  • Hybrid working (3 days on-site/2 days from home weekly
Interested? This is an excellent opportunity for a PHD-educated Audio/Speech ML Research Intern. Please apply now for immediate consideration and speak with Chris Wyatt who is recruiting for this position in Surrey, UK.

Contact Name: Chris Wyatt

Reference: TJ/801/V-195741

Job ID: 3316347

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