Sonos is currently recruiting MSc/PhD candidates for an internship on the Advanced Development Team. As the Speech + Audio Research Intern, you’ll help us pioneer the way we think about smart audio and voice control. Use your knowledge of statistical signal processing and machine learning to re-imagine how we listen to and control our music experiences.
The team is currently involved in improving the current voice and audio solutions that can be found in Sonos iconic products like the Sonos One, Sonos Beam, and the recently launched Sonos Move.
Ideally, you will have a background in one (or more) of the following disciplines:
• Multichannel signal processing algorithm development, e.g. beamforming, noise suppression, acoustic echo cancellation, source separation
• Audio and speech content identification and classification, e.g. acoustic scene analysis, keyword spotting and automatic speech recognition
• Spatial audio reproduction through loudspeaker, e.g. loudspeaker arrays, wave field synthesis, advanced multi speaker rendering techniques, active sound field control
The duration and period of the internship are flexible (3-6 months). The location is Santa Barbara, CA.
QUALIFICATIONS
What You’ll Do:
• Develop and refine audio and speech-centric algorithms
• Implement automatic test infrastructures to evaluate the algorithms you develop
• Meet with the team to present findings and update progress
Skills You’ll Need:
• PhD candidate preferred
• Proficiency in advanced digital signal processing and machine learning techniques for audio and speech enhancement and recognition
• Proficiency with algorithm design software like Matlab or Python required
• Familiarity with C/C++ and ASR toolkits (e.g., Kaldi) preferred
• Familiarity with deep learning tools (e.g., TensorFlow, Keras) preferred
• Familiarity with basic concept of acoustics (e.g., room modeling, driver and microphone characteristics)
• Passion for data-driven experimental analysis
Apply online at
https://careers.sonos.com/jobs/JobDetail/Speech-Audio-Research-Intern/6873,
if there's a good match, we'll be in touch shortly with next steps!