Machine Learning Researcher - Audio

The Audio Programmer; Greater London; Hybrid; GBP 70,000 - 80,000; Full time

Job summary

The Audio Programmer in Central London is hiring a Machine Learning Researcher to advance voice, speech and noise cancellation technologies. This is a permanent, full-time role with hybrid work from home and the R&D centre in London.

You will carry out research on deep learning audio, evaluate AI/ML models, implement and train models, and document findings in reports and papers for publication.

Qualifications

• PhD or MSc in AI, ML, 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

Responsibilities

• 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

Skills

Real-time audio ML

CNNs

RNNs

State space models

Education

PhD or MSc in AI, ML, CS, Maths or similar

Tools

Python

PyTorch

Job description

Permanent, full time

£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.

Job 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