Join the core group working on Speech Recognition at SoundHound. As a tinkerer who enjoys bringing devices to life, you will have a chance to apply Natural Language Understanding in a real-world setting. You will get hands-on experience solving problems with products used by real people. You should be willing to work in a demanding environment with fast turn-around times.

We would love to hear from you if:

  • You have a Bachelor’s in Computer Science or in a related quantitative discipline
  • You take pride in writing clean C and C++ code
  • You possess a deep knowledge of algorithms and data structures
  • You are familiar with Bash as well as Python or Perl
  • You are comfortable in a Linux environment

We’d be especially excited if you have worked on compiler design and various build systems. Also, don’t forget to mention if you have experience working with hardware and device drivers.

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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