Machine Learning Researcher - Audio (AI)

TL;DR

Machine Learning Researcher - Audio (AI): Developing cutting-edge voice, speech, and noise cancellation technologies with an accent on deep learning audio research and model implementation. Focus on implementing real-time audio signal processing, training state space models, and advancing speech separation techniques.

Location: Hybrid (2-3 days a week in Central London R&D centre)

Salary: £70,000–£80,000

Company

A voice technology company at the forefront of voice isolation and speech separation with several products already on the market.

What you will do

• Carry out research on deep learning for audio applications.
• Implement, train, and evaluate AI and ML models.
• Conduct model research, including inference and testing of voice and noise cancellation technologies.
• Write technical reports and research papers.

Requirements

• PhD or MSc in AI, Machine Learning, Computer Science, Maths, or a similar field.
• Experience in speech separation or stem separation.
• Strong background in real-time audio machine learning research.
• Detailed knowledge of machine learning concepts, specifically CNNs, RNNs, and state space models.
• Proficiency in Python and PyTorch.
• Must be based in the UK and able to work from the Central London office 2-3 days per week.