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 at least two years of relevant industry experience
- You have a Master's in Computer Science or in a related quantitative discipline
- You take pride in writing clean C & C++ code
- You possess a deep knowledge of algorithms & data structures
- You are familiar with Bash as well as Python or Perl
- You are comfortable in a Linux environment
Wed be especially excited if you have worked on compiler design & various build systems. Also, dont forget to mention if you have experience working with hardware & device drivers.
At SoundHound, we believe every brand should have a voice. As the leading innovator of conversational technologies, were 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 & 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. Were making that a reality through our SoundHound music discovery app & Hound voice assistant & through our strategic partnerships with brands like Mercedes-Benz, Hyundai, Deutsche Telekom, & Pandora. Today, our customized voice AI solutions allow people to talk to phones, cars, smart speakers, mobile apps, coffee machines, & every other part of the emerging voice-first world.
Our diverse team of engineers, UX/UI designers, writers, data scientists & 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, & a worldwide team in six countries building solutions for a voice-first world.