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).

What you'll do

Docusign is seeking an exceptional Software Engineering Intern to join our AI team in Seattle, where you'll have the opportunity to work on cutting-edge AI/ML innovations. In this role, you'll design and implement AI solutions using state-of-the-art language models, while conducting experiments to explore different model architectures. You'll also research and integrate the latest advancements in AI/ML, optimize large-scale data processing, and enhance AI processing pipelines or AI infrastructure for efficiency and scalability. If you're passionate about AI-driven solutions and eager to gain hands-on experience in a fast-paced, innovative environment, this is your chance to make an impact at Docusign!

 

This position is an individual contributor role reporting to the Senior Principal Engineer.

 

Responsibility

• Work with data scientists to implement and AI solutions

• Collaborate with product teams to understand use cases and build AI solutions

• Participate in code reviews and technical discussions

• Assist in training, fine-tuning, and testing AI/ML models

• Help preprocess, clean, and structure datasets for training AI models

• Contribute to AI model performance improvements (speed, accuracy, efficiency).

• Assist in debugging issues related to AI workflows and infrastructure

• Work closely with data scientists to understand real-world AI use cases

• Participate in team meetings, stand-ups, and brainstorming sessions

• Contribute to AI Codebase amp; Development

• Write clean, maintainable code for AI/ML applications

• Participate in code reviews and learn best practices for AI development

• Stay Updated on AI/ML Trends

• Research and summarize emerging AI techniques and industry advancements

• Explore new AI frameworks, libraries, and optimization methods

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 pursuing a B.S. or M.S. in Computer Science, Software Engineering, or a related field
• Experience with frontend frameworks such as React, JavaScript, TypeScript
• Experience with backend development using Node.js, C#, Java, or similar OOP languages
• Interest in working with databases (SQL or NoSQL) and designing efficient, scalable data models
• Experience with API development (REST, GraphQL) and best practices in error handling, logging, and monitoring
• Experience using Git for version control

Preferred

• Passion for backend development, system reliability, and API design
• A mindset focused on problem-solving, attention to detail, and willingness to learn
• Experience or coursework related to distributed systems, cloud computing (AWS, Azure), and microservices architecture
• Interest in optimizing system performance, debugging, and profiling applications
• Familiarity with CI/CD pipelines and DevOps tools
• Ability to analyze system metrics and logs to enhance reliability and fault tolerance
• Previous internship or personal projects that demonstrate an understanding of scalable backend systems

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

 

Based on applicable legislation, the below details pay ranges in the following locations: