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AVANGRID - Main Account
Orange, CT
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  • Good knowledge of machine learning techniques, feed-forward, recurrent and convolutional neural networks and machine learning.
  • Work with deep learning models.
San Antonio, TX 78208
  • Experience with Convolution/Recurrent Neural Networks (CNN, RNN), Long Short-Term memory (LSTM).
  • Java, C/C++ server side development and GUI Development…
  • Experience training and evaluating Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
  • The ideal candidate has deep expertise in one or more of the following disciplines: Data Science, Applied or Theoretical Machine Learning, Deep Neural Network…
  • Experience training and evaluating Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs).
  • Extensive knowledge and practical experience in deep neural networks and other recommendation systems, including: convolutional neural networks (CNNs),…
  • Multiple types of Neural Networks such as convolutional neural network and recurrent neural networks.
  • Programming and programming interfaces including: C/C++,…
Santa Clara Valley, CA 95014
  • Hands-on experience with convolutional networks and recurrent neural networks (LSTMs, GRUs and etc.).
  • Fluency in a high-level programming language (Python and…
Santa Clara Valley, CA 95014
  • Hands-on experience with convolutional networks and recurrent neural networks (LSTMs, GRUs and etc.).
  • Strong theoretical and applied background in some or all…
Menlo Park, CA
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
  • Code using a mixture of Python and C++.
Bethesda, MD
  • Programming experience using Python (iPython notebooks).
  • Knowledge of or experience with Agile and DevOps development methodologies.
Boston, MA 02114 (Back Bay-Beacon Hill area)
  • Design, selection, and optimization of complex neural network architectures, including combinations of convolutional networks and recurrent networks.