Applied Science Intern

Docusign • San Francisco, CA

1d • Hybrid

About The Position

The Applied Science Intern works with scientists and engineers to apply advanced mathematical, statistical, and machine learning techniques to complex problems and build solutions that can be used in Docusign products. Projects may involve document understanding, such as automated clause extraction, semantic risk detection, and structural analysis, or intelligent AI agents for end-to-end agreement workflows. The intern owns a high-impact project from conception through prototyping during a 10 to 12-week summer internship, working with large datasets, current technologies, and collaborative agile workflows. The role is an individual contributor position reporting to the Senior Manager, Applied Science. The internship is described as having a duration of three months.

Requirements

• 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 such as regression, classification, and clustering.
• Experience querying and manipulating data using SQL or data frame libraries such as Pandas.

Nice To Haves

• Practical experience or coursework in Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, or Optimization.
• Familiarity with machine learning libraries and frameworks such as PyTorch, TensorFlow, Scikit-Learn, or JAX.
• Experience with distributed computing frameworks such as Apache Spark or Hadoop, or cloud-based data warehouses such as AWS, Google Cloud, or Azure.
• Peer-reviewed publications in top-tier scientific conferences or journals, such as NeurIPS, ICML, KDD, or CVPR, or a strong portfolio of open-source contributions.
• Exceptional verbal and written communication skills and ability to explain complex technical concepts to diverse audiences.

Responsibilities

• 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 insights and develop model features.
• Partner with Product Managers and Software Engineering teams to translate theoretical concepts into functional, scalable prototypes.
• Design and execute evaluation frameworks, including offline simulations and controlled A/B experiments, to assess model performance, identify edge cases, and establish statistically significant outcomes.
• Document methodology, findings, and code, and present project outcomes to technical and non-technical stakeholders at the conclusion of the internship.

What This Job Offers

• Career Level: Intern