At SoundHound Inc., we believe every brand should have a voice. As the leading innovator of conversational technologies, we're trusted by top brands around the globe. Houndify, our independent Voice AI platform, with 70,000+ users, allows brands to create custom voice assistants that deliver results with unprecedented speed and accuracy.
Our mission is to enable humans to interact with the things around them in the same way we interact with each other: by speaking naturally. We're making that a reality through our SoundHound music discovery app and Hound voice assistant and through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, and Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, and every other part of the emerging 'voice-first' world.
Our diverse team of engineers, UX/UI designers, writers, data scientists and linguists are all passionate about creating a world with more conversations. With more than 14 years of expertise in voice technology, we have hundreds of millions of end users, and a worldwide team in six countries building solutions for a voice-first world.
About the Role:
Join one of our core speech technology teams for a 10 week (minimum) paid internship
Apply deep learning techniques and neural networks to improve acoustic models for ASR
Innovate on state-of-the-art deep learning systems for speech recognition
Currently enrolled in a Master's or PhD program in Computer Science, Electrical Engineering, Statistics, or equivalent
Available to work full-time for a minimum of 10 weeks outside of university term time
Experience with modern machine learning techniques
Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, Torch, PyTorch, MxNet, etc.
Strong programming skills on Linux using C++ and/or Python
Solid knowledge of algorithms and probability / statistics
Nice to Haves:
Experience working with automatic speech recognition systems
Experience in computer vision and pattern recognition
Knowledge of DSP principles, noise reduction, echo cancelation
Participation requires that you are located in Canada for the duration of the internship program. To start the application process, you will need an updated CV or resume. You will also be requested to provide a current unofficial or official transcript in English in the event that the hiring team chooses to engage further.