DEEP LEARNING SCIENTIST

Strong publication record (e.g., NIPS, ICML, CVPR, ICCV papers) and/or industry experience.

Scientific expertise and real-world experience in deep learning (Recursive neural networks, Recurrent neural networks, convolutional neural networks, restricted Boltzmann machines, and deep neural networks) – applied to NLP.

Experience in applying machine learning to problems in NLP.

Natural language processing: sequence segmentation, labeling and parsing, knowledge extraction, question answering, multi text learning etc.

Ability to come up with practical algorithms and write solid code quickly in a programming language (such as C++, Python, Scala, Java, GPU CUDA programming).

Extensive experience with a neural network library such as Caffe, Keras, Tensorflow, or Torch.

Rapidly prototype integration of latest research in the field into the product.

Ability to work independently and be self-driven.

Passion to work for Startup companies.

Qualifications

MS - Computers

PhD - Comouters