Jan 10, 2024

Machine Learning Engineer


Machine Learning Engineer

This role can be fully remote (or their office locations in California)
Permanent position
Highly competitive salary, leading equity package, and benefits.
We’re working with a stealth-mode startup who are using advanced speech-to-speech machine learning technology to disrupt the contact centre space. Their technology effectively softens accents and eliminates background noise within call centres to aid understanding. They have raised a significant amount of funding, and are ready to scale.
The startup was founded by 3 Google heavyweights in the speech space and they have pedigree – having sold 4 tech startups closing over $500M in deals. Their platform aims to give millions of call centre agents better economic opportunities by clarifying their speech, increasing audible understanding for all.
They are looking to add a Machine Learning Engineer to help improve their speech-to-speech deep learning model. You will work with top talents within the Speech world, helping to build out the next level of model infrastructure within PyTorch. Be part of a team, building and optimizing model architecture, parameter tuning and training, and running experiments.
To be successful in the role you will have experience in text-to-speech, voice conversion or synthesis, as well as a strong academic record.
Knowledge of the following is desired:
- Google Cloud Platform
- DataFlow and Beam
- Vertex AI
- PyTorch
- Python
- Familiarity with audio data processing
- Familiarity with machine learning models in speech
- Experienced in large data processing
- Efficient ingestion of large datasets
- Effective management of datasets
** If you're interested in this opportunity, please submit your CV via the link provided **
Cubiq Recruitment is recognised as a trusted supplier of permanent, contract and interim recruitment services to AI, Software, ERP, Engineering, Manufacturing and Commercial sectors. Our teams of specialist recruiters operate across all core commercial engineering & technology disciplines and specialist areas.

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