About this role
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.
All your information will be kept confidential according to EEO guidelines.