Senior Software Engineer, Applied Machine Learning

SoundHound Inc. builds voice AI products that make it easier for people to engage with the world around them. We do this by creating custom voice assistants that make it possible for companies to extend their brand in new and meaningful ways. 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.

We are looking for an experienced software engineer to join our core speech technology team. You will collaborate with researchers and software engineers to ship various speech technology solutions. Team projects include deep learning acoustic models, wake word detection, voice biometrics, and sound event detection.

Our team is distributed across our office in Europe and North America. We enjoy flexible working hours and a high level of ownership across our projects. 

In this role you will:

• Productionize deep learning acoustic models for our Houndify Voice AI Platform
• Build feature extraction tools and inference engines
• Guide junior teammates on projects and share best practices

We would love to hear from you if:

• You have five-plus years of industry experience
• You graduated with a Bachelor’s degree in Computer Science
• You are well-versed writing production level C++ or Python code
• You are adept with algorithms and data structures
• You do your best work when you’re in a creative and diverse environment

We’d be especially excited if you have experience with large-vocabulary speech recognition engines and toolkits such as Kaldi. Be sure to let us know how comfortable you are using deep learning frameworks like Tensorflow and PyTorch. Familiarity with real-time audio and signal processing is also a plus!