Software Engineer Intern

Company 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).

Docusign brings agreements to life by harnessing the power of intelligent agreement management to unlock business-critical data from documents and connect it to systems of record. Our AI Applications team within the AI Engineering organization builds ML-powered product experiences from document understanding to intelligent workflows and, increasingly, AI agents that help customers work smarter. As an MLE Intern - AI Applications, you will help design, prototype, and ship ML-driven application features, including new capabilities on our AI agent framework and document understanding features for clauses and extractions. You'll collaborate closely with applied scientists, product managers, and engineers to turn research ideas into customer-ready features in the Docusign Agreement Cloud. This is an internship role for 5 months of duration. This position is an individual contributor role reporting to the Senior Manager, Machine Learning.

Implement and iterate on ML-powered application features under the guidance of senior engineers, such as new capabilities in our AI agent framework or clause/extraction experiences in Docusign products Contribute to end-to-end ML feature workflows: data preparation, model integration, evaluation, and deployment into customer-facing experiences Integrate ML services into backend APIs and/or product surfaces, following best practices for reliability, security, and observability Build and maintain Python-based services and components that run on Kubernetes in Azure as part of our ML application stack Instrument features with logging, metrics, and basic dashboards to monitor performance and user impact Write clean, maintainable, and well-tested code, including unit and integration tests, as part of our standard development and review process Collaborate with cross-functional partners (Product, Design, QA, and other engineering teams) to clarify requirements, demo progress, and incorporate feedback Proactively learn new tools and techniques (e.g., LLMs, agent frameworks, prompt engineering, vector search, orchestration libraries) and share learnings with the team Job Designation 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. What you bring Basic Currently enrolled in a Bachelor's degree program in a relevant field with an expected graduation date between December 2027 and May/June 2028 Coursework in Computer Science, Computer Engineering, or a related technical discipline Experience in Python for backend and/or machine learning development; familiarity with another language such as C#, Java, or TypeScript/JavaScript Experience with data structures, algorithms, and core software engineering fundamentals (testing, debugging, code reviews, version control) Experience from coursework, projects, or prior internships