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Senior Machine Learning Scientist: Speaker Verification

Department: Software

Location: Paris

Req#: 5932

At Sonos, we're passionate about creating the finest audio experiences in the world for our customers and connect them to the content they want and wherever they are located.

We are looking for a Senior Machine Learning Scientist to join our acoustic team in Paris and help us build the Sonos voice experience. 

About You

More than a candidate that checks every box, we’re looking for people who are excited to work, learn, and grow at Sonos—no matter their background or how they identify. If that’s you, we hope you’ll apply for this role.

You want to be part of a team.

You come with new ideas and a unique point of view. You look forward to collaborating with a diverse team of individuals. You assume everyone’s best intentions, welcome a healthy debate, and embrace differing opinions. You eagerly seek and give help. Transparency tops your list of values, and you proactively contribute to a culture of respect and inclusion.

You enjoy a challenge.

Inquisitive and focused, you see every challenge as an opportunity. You’re ambitious and comfortable making mistakes because you learn from them and bounce back quickly. You would rather create the future than wait for it. You prioritize long-term value over short-term objectives.

You love to listen.

You approach every interaction with curiosity and a desire to understand. You want to make a positive impact in the world. You’re passionate about culture and know the power that music, film, podcasts, games, and stories have to bring people together.

What You’ll Do
You will be responsible for the training, the validation and the deployment of state-of-the-art speaker validation systems based on the most recent machine learning techniques. Since our speaker verification system must run locally on resource-constrained hardware, you will be faced with the challenging task of minimizing the system footprint while retaining high performance in both noisy and far field conditions. Additionally, you will work closely with the embedded software team to continuously improve optimization and inference strategies to contrast the prevailing cloud computing paradigm.
Skills You’ll Need
  • Experience in development, validation and implementation of deep learning models in either the acoustic or visual domains.
  • Experience with one or more general purpose programming languages (C++, Python etc) and with version control.
  • Knowledge of deep learning framework (TensorFlow or PyTorch)
  • MS / PhD in Computer Science or related technical field.
  • 2+ years of experience in deployment of machine learning models in production.
  • Ability to formalize, analyze and solve complex problems.
  • Excellent verbal and written communications skills in English.

Preferred Qualifications:
  • Experience with face, speaker or landmark recognition
  • Experience in deploying machine learning for embedded systems 
  • Previous experience working on verification or authentication tasks
  • Track record of published papers in peer-reviewed journals or conferences
  • Knowledge of Rust and/or Docker
More About Sonos

Sonos is a sound experience company. We pioneered multiroom wireless audio, made it sound amazing, and changed the way people listen, making it effortless for them to enjoy what they want, where they want, how they want.

Today we continue empowering listeners by developing new technologies, thoughtfully designing products, expanding our software platform, and crafting brilliant sound experiences while participating in a culture that values respect, transparency, collaboration, and ownership.

Together we’re working to positively impact the world and inspire everyone to listen better—because listening brings people together, builds understanding, drives change, and makes us happier.

Notice to European Job Applicants: Information you submit as a part of your job application will be used in accordance with Sonos EU Job Applicant Privacy Notice.

Notice to U.S. Job Applicants: Sonos is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

Follow the links to review the EEO is the Law poster and its supplement. The pay transparency policy is available here. Sonos is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to and let us know the nature of your request and your contact information.