Whether our people choose to work from an office or remotely, we remind ourselves that our culture is not our offices, it’s us. Having been distributed from the start, we’ve long since been accustomed to having close teammates in entirely different locations and time zones. We have always been focused on impact, not location, and the pandemic has taught us that even more roles can be performed remotely than we’d previously imagined.
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. 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. We connect millions of listeners all around the world to the content they want, where and how they want it. At Sonos we take the time to hire right and appreciate your patience. Excellent verbal and written communication skills (English) Strong team spirit Preferred Experience working on ML technologies on speech related tasks: speech enhancement, source separation, keyword spotting, speech recognition Working knowledge of Python, Rust or C Your profile will be reviewed and you'll hear from us once we have an update. Understanding of development processes including design, implementation, unit testing, test automation, continuous integration, version control etc. 3 years of experience with embedded Linux, MCU, DSP or NPU development. MS in Computer Science, Machine Learning or equivalent. If you don’t have 100% of the skills listed, we strongly encourage you to apply if interested. Skills you need Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. Deploy machine learning libraries inside cloud services for evaluation. Grow your technical skills through projects that are between Embedded Software Engineering and Machine Learning. Develop tooling to support our Machine Learning research teams. What you’ll do Implement, optimize and test Machine Learning inference engines that run on Sonos products, based on neural networks, signal processing, finite state transducers, etc. We’re currently looking for an embedded machine learning engineer to join our Machine Learning Inference team within SVE and help us build the software backbone, running on Sonos products, required to deliver a production-grade Voice Experience to Sonos customers. To bring this feature to life and to improve it continuously, the team brings together an interdisciplinary group of software engineers (embedded, backend, frontend, quality assurance) and linguists in addition to signal processing and machine learning scientists. The development of Sonos Voice Control is made by our voice experience (SVE). It was launched in the US in June 2022 and in France in December 2022. Sonos Voice Control is a voice interface for Sonos users to control their music and their Sonos system, placing privacy at the heart of its design. This is why we have developed Sonos Voice Control. One of the most natural ways to connect to your music is with your voice, yet many customers are choosing not to activate or use voice services, mainly due to privacy concerns and failure to meet expectations for accuracy, speed, and ease of use. At Sonos we want to effortlessly connect listeners to the content they love. 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 want to create the ultimate listening experience for our customers and know that it starts by listening to each other.
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