Sonos is currently recruiting PhD candidates for an internship on the Smart Audio and Voice 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, e.g., the recently launched
Sonos One. Ideally, you will have a background in the following disciplines:
• Speech enhancement (microphone arrays, noise reduction, linear and nonlinear echo cancellation)
• Speech classification (speech recognition, speaker identification, keyword spotting)
• Classification of acoustic scenes and events
Alternatively, we will also consider candidates with a strong background in acoustical signal processing for spatial audio enhancement and object-based audio reproduction.
The duration and period of the internship are flexible. The location is Santa Barbara, CA.
About You
Our band is large. And while there’s plenty of room for all kinds of personalities and skill sets to succeed, there are certain qualities that will help you thrive here. Like a never-accept-less work ethic. A relentless craving to push past your limits and try new things by learning from those around you. The humble confidence to hear honest feedback, and the tenacity to respond to it quickly as you improve every day. And a tendency to totally geek out on music.
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 techniques for audio and speech enhancement and recognition
• Proficiency with Matlab required
• Familiarity with C/C++, Python, 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
• Ability to obtain work authorization in the United States in 2018
How to Audition
Apply online in the University Student section following this link:
If there's a good match, we'll be in touch shortly with next steps!
Questions