GenoNova, an AI company, is looking for hands-on researchers to join the Natural Language Processing (NLP) team to help productize and monetize unstructured text data, both public and proprietary. This role requires demonstrated experience in applied, state-of-the-art NLP including deep learning approaches.
Apply scientific methodologies to large unstructured text datasets to extract valuable information and develop original insight .
Participate in cutting edge research to solve NLP problems (domain-specific) such as embeddings, named entity recognition, sentiment analysis/opinion mining, relation extraction, topic clustering and classification, and semantic analysis.
MS/PhD in computer science or related fields doing research in the fields of NLP, especially related to machine learning and/or deep learning.
2+ years’ experience in researching and implementing NLP and machine learning algorithms.
Prior experience in the area of text analytics is desirable.
Good understanding and hands-on experience of text pre-processing and normalization techniques.
Strong programming skills in Python. Knowledge of JAVA or C/C++ is preferred.
Practical experience with NLP, machine learning and deep learning packages, for example nltk, gensim, scikit-learn, tensorflow, caffe, torch, mxnet, etc.
Ability of constructing domain-specific knowledge graph (KG) is desirable.
Understanding of Chinese is highly desirable because NLP will be applied to both English and Chinese texts
Level of experience (years):
Mid Career (2+ years of experience)
How to apply:
Please mention NLP People as a source when applying