Compensation: Competitive based on experience
Desired Start Date: Immediately
Location: New York, NY

Position Description:
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.

Responsibilities:

  • 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.

Qualifications:

  • 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.

Application Information:
Please submit your resume to careers@ebrevia.com