Audio & Speech AI
Remote working from anywhere
$90-120K
Join a company specialised in AI for speech and audio as a Deep Learning Engineer and collaborate with ML Researchers to develop and implement audio machine learning models.
They're an established, well-funded start up, building AI tools and software for speech, music, sampling and gaming.
This is an ideal role for a Machine Learning or Deep Learning Engineer with a few years of experience, looking for a role focused on machine learning implementation (rather than research) for audio, speech and music.
You'll need strong skills in Python and TensorFlow / PyTorch, experience working with audio data, and the ability to manage your own workload as you'll be working fully remotely, coordinating with colleagues in Europe and America.
The Role
Collaborating with Audio Software Engineers and Machine Learning Audio Researchers
Running experiments, creating infrastructure / models and developing tooling for cutting edge audio ML models
Fast ML prototyping and productisation
Improving and maintaining the codebase
Working with the AI Research team to implement and train deep learning models
Integrating models into the deployment pipeline
Skill Profile
Either: a Master's degree in computer science / electrical engineering / similar field
Or: previous experience in deep learning research or deep learning productisation for audio or vision
Detailed knowledge of PyTorch or TensorFlow
Strong skills in Python
Experience working with machine learning pipelines from data through to training and deployment
Linux, Unix, Git
Knowledge of deep learning cloud infrastructure (AWS, GCS or Azure)
Able to manage your own workload and comfortable working remotely with a distributed team
Experience in music - either working on music software or using music production tools
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