Senior Machine Learning Engineer

Job Title: Senior Machine Learning Engineer Company: Docusign Job Category: Machine Learning Roles & Responsibilities: Company Overview Docusign brings agreements to life. More than 1\.8 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 the Docusign AI\-native IAM platform, companies can create, commit, and manage agreements with solutions created by the \#1 company in e\-signature and contract lifecycle management (CLM). 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 agreements into structured, interconnected markdown or graph\-based knowledge bases, including concept, entity, and comparison pages that stay in sync with upstream document changes * Develop and productionize retrieval architectures that leverage the compiled knowledge base for high\-precision, multi\-step question answering and navigation across corporate hierarchies * Architect and implement Iris's long\-term memory (LTM) layer, including storage, retrieval, and summarization mechanisms that persist chat history, user actions in Canvas, and administrative overrides as episodic memories over time * Create ML and LLM components that fuse contract\-centric retrieval (GraphRAG \+ LLM Wiki) with institutional memory (LTM) so Iris can adapt behavior based on prior decisions, exemptions, and corrections without requiring users to restate context * Own the end\-to\-end lifecycle of these models and systems\-from feature and schema design through training, evaluation, deployment, and monitoring\-with a focus on reliability, safety, and debuggability in production environments Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law. We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live. Work Location: Bengaluru, Karnataka, India Availability: Full time

Basic * 8\+ years of professional experience in Machine Learning Engineering or Data Science, with a strong background in Software Engineering * Experience with PyTorch or TensorFlow, specifically regarding Time Series analysis (forecasting/anomaly detection) and NLP * Experience building applications using LLMS (RAG pipelines, LangChain, vector databases) specifically for technical domains (code analysis, log parsing) * Experience with distributed data processing and streaming technologies (Apache Spark, Kafka, Flink) * Experience with software engineering fundamentals (Python, C\+\+, or Go), CI/CD for ML, and experience deploying models via APIs (FastAPI, Triton Inference Server) * Experience building/consuming RESTful and gRPC based web\-services * Experience with cloud deployment technologies, such as Kubernetes or Docker containers * Experience with designing and scaling fullstack or distributed backend systems If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Key Skills: Machine Learning, Python, TensorFlow, PyTorch, NLP Salary: Not disclosed