Our client is adding new life to conversations of all types. It is integrated with a variety of applications. Our direct-to-end user product will change meetings by generating interactive notes that are saved in one place and ready for sharing.
They are seeking experienced research and engineering professional to lead research and development of new deep learning algorithms for speech recognition and language understanding to join our technology team. Members of the technology team work collaboratively as a group and with colleagues in engineering and product to devise and deploy new algorithms for speech recognition, speaker separation, diarization, and speaker identification.
BS in CS or EECS
Demonstrated familiarity with and understanding of the latest advances in deep learning
Hands-on experience with open source deep learning toolkits such as: TensorFlow, Theano, Caffe, Keras
Strong software engineering skills with experience in one or more programming languages C++, Python, and Java
Comfort with working in a highly collaborative startup environment
Nice to Have:
PhD in relevant discipline is highly desirable, but others with equivalent experience are encouraged to apply
Academic specialization or extensive experience in working on solving problems in speech recognition and NLP