#R2178
ssing, Keyword Spotting, Audio Frontend and Embedded ML.
You can visit our Tech Blog if you want to know more about the inner workings of SVC and much more!
What you'll do
As a Machine Learning Engineer you will be responsible for developing new models and algorithms for Automatic Speech Recognition leveraging and adapting the state of the art to Sonos Voice Control use cases, and maintaining & improving existing models in production.
You will tackle these problems with additional challenging requirements, such as low latency & footprint, embedded inference on our wide hardware portfolio, or user personalization & domain adaptation. As well as this you will contribute to the whole development process, from the conception and training of the models (on neural network training pipelines you will contribute to improving), to their evaluation and their delivery in production, collaborating with senior ML engineers and working hand in hand with our software engineering teams.
You will keep up to date with the most recent research in the field, attend specialized conferences and participate in knowledge sharing within the Machine Learning organization.
What You'll Need
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. If you don't have 100% of the skills listed, we strongly encourage you to apply if interested.
Basic Qualifications
MS in machine learning, computer science, applied mathematics and/or related technical field
Research and/or work experience in Automatic Speech Recognition
Proficiency in developing and debugging in Python
Experience and knowledge of ML frameworks like PyTorch, TensorFlow, etc.
Excellent verbal and written communication skills (English)
Preferred
Hands-on experience with Automatic Speech Recognition in industrial settings
Working knowledge of Rust
Your profile will be reviewed and you'll hear from us once we have an update. At Sonos we take the time to hire right and appreciate your patience.