- Ability to formalize, analyze and solve complex problems.
- Demonstrable expertise and research experience in one or more of the following areas:
- Sensor processing, sensor fusion
- Mobile and wearable computing
- Context awareness
- Brain-computer interaction
- Sensing for audio
- Spatial computing
- Personalized, adaptive audio rendering
- Ph.D. in audio, covering one of the above areas or a related topic.
- Knowledge of fundamental DSP and ML techniques for sensing and sensor fusion (e.g. state estimation, data pre-processing and modeling).
- Comfortable working with and/or designing prototype hardware systems
- Comfortable using Python or Matlab, and version control tools.
- Ability to clearly communicate, present, and disseminate research findings to both specialist and general audiences.
- Musical and/or critical listening background (playing, producing, engineering).
- Track record of published papers in relevant peer-reviewed journals or conferences (e.g. ICML, SENSORS, UIST, CHI, CVPR, Ubicomp, MobiCom, ICASSP, Interspeech).
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Audio Research Scientist - London, United Kingdom - Sonos, Inc.
Description
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.
Audio technology research at Sonos sits at the intersection of audio signal processing, machine learning, acoustics, and audio perception. We research and develop technologies that enable new and unique listening experiences from Sonos products.
We are looking for an Audio Hardware Research Scientist to join our sensing research team in London and help us build the listening experiences of the future.
What you'll do
Advanced technologies play a central role in the future of the Sonos sound experience, covering a range of research areas including spatial audio, adaptive noise cancellation, telephony, wearable computing, and sensing.
As an Audio Hardware Research Scientist, you will be responsible for researching, developing, and evaluating sensing, signal processing, and machine learning algorithms and methods. This will include identifying the emerging opportunities presented by new methods and developments in the field and taking ideas from early concepts to scalable, productisable solutions.
Basic Qualifications
Preferred Qualifications
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.
