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: 

  • Fantastic opportunity to join the group that is advancing SoundHound’s core technologies
  • Lead high-impact machine learning projects that contribute to a comprehensive AI platform with the potential to reach 2 billion end users
  • Focus on production driven research that requires ground-breaking innovation
  • Stay up to date with the state-of-the-art in ML techniques


  • Track record of leading high-impact machine learning projects
  • Experience with Deep Learning / Neural Network frameworks such as Tensorflow, Torch, PyTorch, and MxNet
  • Strong programming skills on Linux using Python or C++
  • Solid knowledge of algorithms and probability / statistics
  • MS / PhD in Computer Science, Electrical Engineering, Statistics or equivalent
  • 5+ years of industry experience


  • Research work / publications in Machine Learning and Language Technologies
  • Experience handling large data corpora

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