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Docusign

Runs electronic signing and agreement workflows

Applied Science Intern

Applied Machine LearningUpdated on Nov 13
Internship · Summer 2026San Francisco, CA, USA$63 - $80 /hr

About the Job

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

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 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 methodology, findings, and code, and present project outcomes to technical and non-technical stakeholders at the conclusion of the internship.

Desired Qualifications

  • Practical experience or coursework in specialized areas such as Deep Learning, Natural Language Processing, 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 or Hadoop, or cloud-based data warehouses such as AWS, Google Cloud, or Azure.
  • A history of 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.
  • Verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.

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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