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Sonos Senior Machine Learning Engineer - Automatic Speech Recognition in Paris, France

At Sonos we want to create the ultimate listening experience for our customers and know that it starts by listening to each other. As part of the Sonos team, you’ll collaborate with people of all styles, skill sets, and backgrounds to realize our vision while fostering a community where everyone feels included and empowered to do the best work of their lives.

At Sonos we're passionate about creating the ultimate listening experience for our customers and connecting them to the content they want, where they want it.

We are looking for a Senior Machine Learning Engineer to join the Automatic Speech Recognition (ASR) team and help us build the next generation of Sonos Voice Control (https://www.sonos.com/en-us/sonos-voice-control) (SVC).

The ASR team is part of the larger Machine Learning organization based in France and spanning over a wide range of topics in relation to voice technologies such as Natural Language Processing, Keyword Spotting, Audio Frontend and Embedded ML.

You can visit our Tech Blog (https://tech-blog.sonos.com/posts/on-device-voice-control-on-sonos-speakers/) 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 NeedResearch 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.

    Sonos is a sound experience company. We connect millions of listeners all around the world to the content they want, where and how they want it. Since inventing multiroom wireless audio in 2005, we have continuously innovated the listening experience, designing hardware and software that celebrates sound, empowers our customers, and brings the home to life. Our team is made up of passionate players united by a culture of respect, transparency, collaboration, and ownership who want to inspire the world to listen better.

Having been distributed from the start, we’ve long since been accustomed to having close teammates in entirely different locations and time zones. We ground ourselves in these four principles while working as distributed teams:

Role Location: Some roles require an office while others may be done remotely. Leaders make this decision based on business rationale, role requirements and team needs.

Travel: Some work is better done in person. Teams should meet together in person at critical moments to move work forward.

Meeting Norms: We use our time to drive OKRs and run the business. We normalize asynchronous collaboration and focused work. We give feedback and help each other improve when norms are not followed.

Flexibility: Flexibility done well fuels impact, not hinders it. Teams flex to support one another and employees flex to deliver for the team or business. We flex both ways to drive impact.

Sonos takes your privacy seriously and is committed to protecting your personal data. To learn more, please review the Sonos Recruiting Privacy Notice (https://sonos.box.com/s/teugmwraclv1bgt6i0vqjdhbhvydxg3p) . This Notice explains how we collect, use and protect your personal information in connection with our recruitment process.

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