Software Engineer - Machine Audition

• Apply deep learning techniques and neural networks to improve acoustic models for ASR

• Understanding of modern machine learning techniques
• Experience with Deep Learning / Neural Network frameworks such as Caffe, Tensorflow, Torch, PyTorch, MxNet, etc.
• Strong programming skills on Linux using C++ and/or Python
• Solid knowledge of algorithms and probability / statistics

• MS / PhD in Computer Science or Electrical Engineering or Statistics or equivalent NICE-TO-HAVES:

• Experience working with automatic speech recognition systems
• Experience in computer vision and pattern recognition
• Knowledge of DSP principles, noise reduction, echo cancelation

We offer a competitive salary, SoundHound stock options, unique camaraderie, catered lunches, and the opportunity to call a company home that’s simultaneously changing the way we discover music AND interact with machines. Yep, it’s that cool.

ABOUT SOUNDHOUND: SoundHound is creating and productizing transformative technologies that improve life. Join us! After amassing a global user community well over 300 million strong, a large portfolio of core technologies and award winning products…we’re just getting started. At SoundHound we value creativity, innovation, hard work, open communication and fast iteration, which allow us to act on valuable feedback from employees and users alike. SoundHound’s culture is one of impromptu coffee breaks, less-impromptu fitness sessions, group lunches, and weekly happy hours.