Applied Science Intern: ML & Data for Contracts

DocuSign, Inc.; San Francisco (CA); Hybrid; USD 87,000 - 110,000; Part time

Job summary

DocuSign, Inc. is offering a 10–12 week Applied Science Intern role in the San Francisco area.

You will work with world‑class scientists and engineers to apply advanced mathematical and ML techniques to real products, focusing on contract understanding models and intelligent agents that scale workflows. The internship targets Master’s or PhD students and includes ownership of a high‑impact project, exposure to massive datasets, and collaboration in an agile setting.

Qualifications

• Graduate studies in CS, data science, OR quantitative field.
• Strong programming background and ML knowledge.
• Experience with SQL and data manipulation libraries.

Responsibilities

• Design, develop, and evaluate novel ML models for document understanding.
• Analyze large-scale structured and unstructured data for insights.
• Collaborate with product managers and engineers to build prototypes.
• Develop evaluation frameworks including offline simulations and AB tests.
• Document methodology, results, and code, and present outcomes.

Skills

Python

Rust

C++

Java

ML concepts

SQL

Pandas

Education

Master's or PhD in Computer Science, Data Science, OR quantitative field

Tools

PyTorch

TensorFlow

Scikit-Learn

JAX

Apache Spark

Hadoop

AWS

Job description

DocuSign, Inc. is offering a 10–12 week Applied Science Intern role in the San Francisco area.

You will work with world‑class scientists and engineers to apply advanced mathematical and ML techniques to real products, focusing on contract understanding models and intelligent agents that scale workflows. The internship targets Master’s or PhD students and includes ownership of a high‑impact project, exposure to massive datasets, and collaboration in an agile setting.