Machine Learning Researcher - Audio

The Audio Programmer Ltd; City of Westminster; On-site; GBP 65,000 - 105,000; Full time

Job summary

Zohorecruit in the United Kingdom is seeking a Machine Learning Researcher to advance voice, speech and noise cancellation technologies. Join the audio technology research team to push the frontiers of deep learning for audio and real-time processing.

In this hybrid role, you will conduct deep learning research on audio signals, evaluate AI models, implement and train systems, and document results with reports and papers.

Qualifications

• PhD or MSc in AI, ML, CS, maths or related field.
• Experience in speech separation or stem separation.
• Strong background in real-time audio ML research and concepts.

Responsibilities

• Carry 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.

Skills

Deep learning

Audio processing

Real-time audio

Machine learning

Education

PhD or MSc in AI/ML/CS

Job description

Paddington, United Kingdom

Hybrid working from home and Central London

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