Senior Machine Learning Engineer
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Key skills for this role
Key Skills for This Role
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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
- Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
- 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.
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
Preferred
Experience with Elastic Search technology
Experience with microservice architecture
Experience shipping highly available, scalable service on Azure
Experience with the entire software development lifecycle, including version control (git) build process, testing, and code release
Ability to work in a dynamic, fast-moving environment
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.
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.
Accommodation
Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com .
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.
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About DocuSign
DocuSign provides intelligent agreement management and e-signature software solutions.
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