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Docusign

Runs electronic signing and agreement workflows

Machine Learning Engineer Intern

AI Application EngineeringUpdated on Nov 6
InternshipSeattle, WA, USA$38 - $45 /hr

About the Job

Requirements

  • Currently enrolled in a Bachelor's degree program in a relevant field, with an expected graduation date between December 2027 and May or June 2028.
  • Have coursework in Computer Science, Computer Engineering, or a related technical discipline.
  • Have experience with Python for backend and/or machine learning development, and familiarity with another language such as C#, Java, or TypeScript/JavaScript.
  • Have experience with data structures, algorithms, and core software engineering fundamentals, including testing, debugging, code reviews, and version control.
  • Have experience from coursework, projects, or prior internships building applications or services that consume APIs or data pipelines.
  • Be able to work from the Seattle, Washington hub in a hybrid setup with regular in-office presence for the full 12-week internship, consistent with the intern residency and on-site work policy.

Responsibilities

  • Implement and iterate on ML-powered application features under senior engineers' guidance, such as AI agent framework capabilities or clause and extraction experiences in Docusign products.
  • Contribute to end-to-end ML feature workflows, including data preparation, model integration, evaluation, and deployment into customer-facing experiences.
  • Integrate ML services into backend APIs and/or product surfaces following reliability, security, and observability best practices.
  • Build and maintain Python-based services and components running on Kubernetes in Azure as part of the ML application stack.
  • Instrument features with logging, metrics, and basic dashboards to monitor performance and user impact.
  • Write clean, maintainable, well-tested code, including unit and integration tests, within the standard development and review process.
  • Collaborate with Product, Design, QA, and other engineering teams to clarify requirements, demo progress, and incorporate feedback.
  • Learn tools and techniques such as large language models, agent frameworks, prompt engineering, vector search, and orchestration libraries, and share learnings with the team.

Desired Qualifications

  • Previous internship or substantial project experience in software engineering, data engineering, or machine learning.
  • Academic projects or coursework involving machine learning, natural language processing, information extraction, or document understanding.
  • Experience with machine learning frameworks or libraries such as PyTorch, TensorFlow, or scikit-learn, and experimentation tools such as Jupyter notebooks or experiment tracking.
  • Familiarity with modern large language model and agent concepts, including retrieval-augmented generation, tools or plug-ins, and orchestration frameworks such as LangChain or Semantic Kernel.
  • Exposure to building or integrating RESTful and/or gRPC APIs and working with JSON- or Protocol Buffers-based services.
  • Experience with Git and collaborative development workflows, including code reviews and pull requests.
  • Comfort working in a cloud-based environment, preferably Azure, and with containerization technologies such as Kubernetes.
  • Communication skills and interest in collaborating with cross-functional partners to deliver user-facing features.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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