BAG AI excellent center is working on cutting edge AI problem for business application. The team is working on applying advanced NLP technology into customer facing product, such as conversation AI, question answering and recommendation. We are a hybrid team of research and product with researcher positions, applied scientist positions and software engineer positions. We are product driven with the flexibility to tackle challenging research product for future product as well. In addition to high impact product, we also work on high visibility world-class AI leaderboard and have achieved success in a few of #1 in them, such as GLUE , WikiSQL , SciTail , SWAG , and SNLI .
As a researcher or experienced applied scientist, responsibilities may include working with AI experts and excellent engineers to design and build deep learning NLP and RL models for applications like chatbots and language understanding, with an emphasis on high quality and shipping quickly. Other times you may incubate projects with a long-term view towards future product needs.
At least 3+ years in machine learning, natural language processing and deep learning An ideal candidate Shall have a strong background in one of the following fields: machine learning, natural language processing, deep learning or reinforcement learning. In addition, the candidate needs to have deep experience in at least one of following areas: question answering, language modeling, information extraction, text classification, text summarization, conversation/dialog and related NLP or RL applications. Shall be familiar with Python and deep learning toolkit such as Pytorch or Tensorflow. Experience