Role overview
Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
What you'll work on
Docusign is looking for a passionate, talented, and inventive MLE to help build industry-leading state of the art solutions. You will be leveraging text mining, deep learning, content understanding, document processing and more. You will prototype machine learning models that deliver more personalized and automated customer experiences throughout the Docusign Agreement Cloud.
This position is an individual contributor role reporting to the Director, Machine Learning.
What we're looking for
- Demonstrated experience developing and deploying sequence-based Deep Learning models
- Experience in latest LLM technologies like GPT, Gemini, LLaMA etc
- Experience in Computer Vision
- Strong desire to stay ahead of industry trends and technologies with a commitment to continuous learning
- Experience with Machine Learning Concepts - Training, Validation, Testing, Precision/Recall, Bias/Variance etc
- Experience in extracting, cleansing, and manipulating large, diverse structured and unstructured sets
- Assist with the development of language agnostic contract clause recognition