Education Required :
Master’s or PhD degree in EE, CS, NLP, Speech, or AI.
Research Skills Preferred :
Must have, through employment or graduate-level research / coursework, experience with most of the following :
Basic machine learning algorithms, including common supervised / unsupervised, classification / regression, generative / discriminative algorithms.
Speech recognition, including FFT, MFCC / PLP, acoustic model, language model, GMM, HMM, DTW, FST, LSTM RNN / CNN, etc.
ASR software, such as HTK, Sphinx, Kaldi
Deep learning framework, such as Kaldi, TensorFlow, PaddlePaddle, CNTK, Caffe
Microphone array and DSP basics
Engineering Skills Preferred :
Must have, through employment or graduate-level research / coursework, experience with some of the following :
C++ / C or Python
Embedded programming (C, ARM, DSP, etc)
Parallel computing and optimization on CPU and GPU
Culture Fit :
Mission alignment : If you want to be part of a team to accomplish this great mission, we will provide you the best possible platform to do that.
Self -directed : We work best with people that are driven, motivated, and aspire to greatness. Are you the sort of person that, if you had time on your hands, will independently find interesting and useful things to do?
Hungry to learn : We are eager to see you learn new skills and grow. But learning is hard work and this is something we hope you want to do.
Team orientation : We work in small, fast -moving teams. We don't believe in lone wolves. We watch out for each other and go after big goals together as a team.
We thank all applicants but only those selected for an interview will be contacted. In an effort to reduce our environmental footprint and enhance the effectiveness of our applicant tracking process, we encourage applicants to apply by submitting your resume in MS Word format and Linkedin website as well.