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 prospect. 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 do
We are looking for a Senior Machine Learning Engineer to join our Search team. You will be responsible to help turn the Docusign Agreement AI engine Iris into the institutional brain of our customers' agreement ecosystems. You will work on designing and building the core ML and LLM systems that transform standalone agreements into a unified, queryable knowledge graph. In parallel,
you will help architect Iris's long-term memory (LTM) layer so the platform can remember prior chats, user decisions, and corrective feedback across sessions, closing the loop between our assistant and workspace experiences. If you are excited about building knowledge-graph-centric retrieval systems and evolving context layers that continuously learn from real user interactions, this role will let you shape the future of how Docusign customers reason over their entire agreement portfolio.
This position is an individual contributor role reporting to the Sr. Manager, Software Engineering.
Responsibility
- Design and implement the core knowledge graph and schema that model agreements, addenda, amendments, and related entities as explicit nodes and edges, enabling multi-hop and hierarchical reasoning over complex contract portfolios
- Build LLM Wiki style compilation pipelines that transform newly ingested agreeme