METAVOICE  Salary

Rating of the company
25 FINSBURY CIRCUS LONDON EC2M 7EE ENGLAND
TIN: 14091949
 IT-Services
Rating of the company

METAVOICE
Premium profile inactive
 Premium profile inactive

Earnings on positions in METAVOICE

Looking for a job?

Describe to the employer what experience you have and get interesting career offers! Let other users advise you on your choice.

METAVOICE is looking for employees for positions:

production engineer

  • production engineer

Working hours

  • full-time

Responsibility

  • you’ll be working on latency critical applications where ML modules are running on the edge in real-time
  • you will create and train highly performant new models & training pipelines from scratch
  • you will optimise trained internal and open-source models for device-specific architectures across Apple, NVIDIA, Intel, AMD, and other platforms
  • you will be writing write real-time audio pipelines in low-level code for both Windows and Mac
  • work with ML Audio or Digital Signal Processing techniques to analyse, clean, segment & filter speech data
  • participate in research activities, including the application and evaluation of generative voice & speech-to-speech techniques
  • research and implement novel ML and statistical approaches to add value to the business

Requirements

  • extensive experience of applied research. Ideally developing voice conversion, speech synthesis and natural language processing models
  • deep Knowledge in fields such as Voice Conversion, Deep Generative Models, Machine Learning, Deep Learning, TTS, ASR, NLU or Statistical modelling
  • phD with specialisation in voice conversion, text-to-speech, natural language processing, or machine learning
  • hands on experience with machine learning frameworks such as PyTorch, Keras, Tensorflow
  • scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field
  • deep experience with techniques to speed-up inference, reduce model memory consumption & reduce reliance on future context for streaming settings
  • significant experience with Transformer architecture, diffusion models, and other Generative models
  • phD in fields such as Deep Generative Models, STS, Deep Learning, TTS, ASR, NLU. Bachelor’s/Master’s degree considered with existing applied experience in industry