Applied Science 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 Are you passionate about bridging the gap between scientific research and scalable, real-world applications? As an Applied Science Intern, you will work alongside world-class scientists and engineers to tackle complex, ambiguous problems. This role is designed for post-graduate students (Master's or PhD) who want to apply advanced mathematical, statistical, and machine learning techniques to build innovative solutions that directly impact our products and customers. You will work on advanced models for complex document understanding-such as automated clause extraction, semantic risk detection, and structural analysis-or design intelligent AI agents that orchestrate end-to-end agreement workflows. Your research will directly power smart, autonomous features that help millions of users seamlessly draft, negotiate, and analyze contracts at scale. During this 10 to 12-week summer internship, you will own a high-impact project from conception to prototyping, gaining hands-on experience with massive datasets, cutting-edge technologies, and collaborative agile workflows. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Senior Manager, Applied Science. Responsibility Design, develop, and evaluate novel algorithms and statistical models to solve complex business and technical challenges Analyze and manipulate large-scale, structured and unstructured datasets to extract meaningful insights and drive model features Partner closely with Product Managers and Software Engineering teams to translate theoretical concepts into functional, scalable prototypes Design and execute comprehensive evaluation frameworks, including offline simulations and controlled A/B experiments, to rigorously assess model performance, identify edge cases, and ensure statistically significant outcomes Clearly document your methodology, findings, and code, and present your project outcomes to both technical and non-technical stakeholders at the conclusion of your internship 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, or a recent graduate of, a Master's or PhD program in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, Physics, or a highly quantitative engineering field Experience with at least one core programming language, such as Python, Rust, C++, or Java Experience with data structures, algorithms, and core machine learning concepts (e.g., regression, classification, clustering) Experience querying and manipulating data using SQL or data frame libraries (e.g., Pandas) Preferred Practical experience or coursework in specialized areas such as Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Optimization Familiarity with standard machine learning libraries and frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or JAX Experience working with distributed computing frameworks like Apache Spark, Hadoop, or cloud-based data warehouses (AWS, Google Cloud, Azure) A history of peer-reviewed publications in top-tier scientific conferences/journals (e.g., NeurIPS, ICML, KDD, CVPR) or a strong portfolio of open-source contributions Exceptional verbal and written communication skills, with a proven ability to explain complex technical concepts to diverse audiences 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: California: $63 - $80 hour Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship. Life at Docusign 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. Applicant and Candidate Privacy Notice States Not Eligible for Employment This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming. Equal Opportunity Employer It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category. EEO Know Your Rights poster #LI-Hybrid Basic Currently enrolled in, or a recent graduate of, a Master's or PhD program in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, Physics, or a highly quantitative engineering field Experience with at least one core programming language, such as Python, Rust, C++, or Java Experience with data structures, algorithms, and core machine learning concepts (e.g., regression, classification, clustering) Experience querying and manipulating data using SQL or data frame libraries (e.g., Pandas) Preferred Practical experience or coursework in specialized areas such as Deep Learning, Natural Language Processing (NLP), Computer Vision, Reinforcement Learning, or Optimization Familiarity with standard machine learning libraries and frameworks, such as PyTorch, TensorFlow, Scikit-Learn, or JAX Experience working with distributed computing frameworks like Apache Spark, Hadoop, or cloud-based data warehouses (AWS, Google Cloud, Azure) A history of peer-reviewed publications in top-tier scientific conferences/journals (e.g., NeurIPS, ICML, KDD, CVPR) or a strong portfolio of open-source contributions Exceptional verbal and written communication skills, with a proven ability to explain complex technical concepts to diverse audiences Are you passionate about bridging the gap between scientific research and scalable, real-world applications? As an Applied Science Intern, you will work alongside world-class scientists and engineers to tackle complex, ambiguous problems. This role is designed for post-graduate students (Master's or PhD) who want to apply advanced mathematical, statistical, and machine learning techniques to build innovative solutions that directly impact our products and customers. You will work on advanced models for complex document understanding-such as automated clause extraction, semantic risk detection, and structural analysis-or design intelligent AI agents that orchestrate end-to-end agreement workflows. Your research will directly power smart, autonomous features that help millions of users seamlessly draft, negotiate, and analyze contracts at scale. During this 10 to 12-week summer internship, you will own a high-impact project from conception to prototyping, gaining hands-on experience with massive datasets, cutting-edge technologies, and collaborative agile workflows. This is an internship role for 3 months of duration. This position is an individual contributor role reporting to the Senior Manager, Applied Science. Responsibility Design, develop, and evaluate novel algorithms and statistical models

Employment type
Intern