Compensation: Competitive based on experience
Desired Start Date: Immediately
Location: New York, NY
You will lead eBrevia’s initiatives to advance its core intelligent document analysis web application and push the frontier of NLP / machine learning capabilities on text datasets.
Design experiments and evaluate and implement models to process legal language, including document classification, information extraction, resolving references, and anomaly detection.
Translate successful experiments into production-quality code.
Work independently to design and implement new NLP-based features. Consult with subject matter experts and understand how to apply NLP/ML techniques to solve their business problems.
Strong academic background, with a Bachelors, Masters or PhD in Machine Learning, Natural Language Processing or related discipline. Publications in relevant journals is a strong plus (ACL, NIPS, ICML).
Demonstrated coding expertise in any major language, plus experience with version control tools. Experience building large scale data or text-processing pipelines beyond academic projects.
Ability to communicate complex technical ideas clearly to technical and non-technical audience.
Additional mathematics/statistical background a plus.
Ability to design new functionality or improve product with little guidance.
Please submit your resume to firstname.lastname@example.org.