The Company 

Founded by leading experts in AI and NLP, this NYC-based company provides high-precision text reading for large data sets. Their clients include global healthcare and financial services alongside government contracts.  

What You’ll Do  

• Map textual data to representations of meaning suitable for data aggregation

• Design broad-coverage semantic representations, deep enough to capture linguistic phenomena relevant to data aggregation, then build statistical models to learn these representations 

• Work with large datasets to curate and enrich knowledge bases and package your model artifacts 

• Develop and improve entity recognition and entity linking using user feedback, dense embeddings, knowledge graph representations

• Build and deliver models that bring value to clients and can be scaled efficiently over large data sets 

What You Need to Succeed   

• 3+ years of experience in prototyping, testing, and deploying NLP systems to production 

• Track record of publishing top-tier conferences 

• Experience working with large datasets 

• Experience working on text classification, entity recognition, entity disambiguation, relation extraction, interactive information extraction and/or knowledge base construction

• Experience using tools for prototyping and deploying deep learning models, e.g. PyTorch, TensorFlow, spaCy, Hugging Face, scikit-learn.

• Experience developing in OSX and Linux

• Knowledge of state-of-the-art deep learning and NLP methods, e.g. CNNs, RNNS, transformers

• Strong programming skills and experience with ML and deep learning libraries 

• Solid understanding of computer science fundamentals and software development 

• Ability to write and deliver code 

What’s On Offer   

• Competitive compensation package 

• Bonus and Equity