Join one of our core speech technology teams for a 10 week (minimum) paid internship. Participation requires that you are located in the United States for the duration of the internship program. 

In this role you will:

  • Apply deep learning techniques and neural networks to improve acoustic models for Automatic Speech Recognition
  • Innovate on state-of-the-art deep learning systems for speech recognition

We would love to hear from you if:

  • You are currently enrolled in a Master's or Ph.D. program in Computer Science or in a related quantitative discipline
  • You are available to work full-time for a minimum of 10 weeks outside of university term time
  • You have experience with modern machine learning techniques
  • You have experience with deep learning frameworks such as Caffe, TensorFlow, Torch, PyTorch, and MxNet
  • You take pride in your writing clean C++ or Python code in a Linux environment
  • You enjoy working with algorithms, probability, and statistics

We'd be especially excited if you are familiar with speech recognition, computer vision, or pattern recognition. Also, don't forget to mention if you are familiar with digital signal processing (DSP) principles, noise reduction, or echo cancelation.


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.

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