Machine Learning Researcher Audio

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

Job summary

A leading voice technology company in Greater London is seeking a Machine Learning Researcher. Your role will involve researching and developing cutting-edge voice speech and noise cancellation technologies. The ideal candidate should have a PhD or MSc in relevant fields and experience in real-time audio machine learning. This opportunity offers a hybrid working model, requiring 2-3 days a week at their Central London R&D centre.

Qualifications

• 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.

Responsibilities

• Carry out research on deep learning audio.
• Evaluate and test AI and ML models.
• Implement and train models.
• Write reports and research papers.

Skills

Python

Deep learning concepts

Real-time audio signal processing

Machine Learning

Speech separation

CNNs

RNNs

Education

PhD or MSc in AI, Machine Learning, Computer Science or similar

Tools

PyTorch

SPSS

Microsoft Word

R

Stata

Microsoft PowerPoint

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

Required Skills:

• 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

Required Education:

PhD or MSc

Key Skills

• Intelligence Community Experience
• Python
• Spss
• Microsoft Word
• R
• Regression Analysis
• Windows
• Stata
• Microsoft Powerpoint
• Research Experience
• Data Modeling
• Writing Skills