Drimva

Intuit

Summer 2027: AI Science Intern

Mountain View, California +3 · Internship · Posted Sep 11, 2026

Location
Mountain View, California
San Diego, California
New York, New York
Atlanta, Georgia
Experience
Bachelor's or Master's candidates must have prior relevant experience; no number of years stated.
Education
Currently enrolled in a PhD program in Computer Science or a related technical field; alternatively, enrolled in a Bachelor's or Master's program with prior relevant experience.
Visa sponsorship
Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.

About the job

Conduct AI science research and develop machine learning models and proofs of concept to improve customer experiences across Intuit products.

What you'll do

  • Prepare and explore real-world datasets, engineer features, and build, train, and evaluate machine learning and deep learning models.
  • Design experiments and perform statistical analysis; document and communicate research and model results.
  • Research AI/ML methods, including generative AI and LLMs, and collaborate with cross-functional teams to develop product solutions.

What they ask for

  • Currently enrolled in a PhD program in Computer Science or a related technical field, or a Bachelor's or Master's program with prior relevant experience and graduation after the internship ends.
  • Legally authorized to work full-time in the United States for the internship duration; able to work in a hybrid environment at an Intuit office location.
  • Familiarity with core machine learning techniques and their mathematical foundations; ability to prepare data from multiple sources for machine learning.
  • Strong programming skills in Python and SQL proficiency.

Nice to have

Pay

$42.69 - $86.68/hr (base salary); Mountain View $50.5 - $89.5 (base salary); New York $49.5- $86.5 (base salary); San Diego, CA $45- $82 (base salary)

Tools

Python, SQL

AI focus

Develop and evaluate machine learning and deep learning models; explore generative AI and LLMs and create AI-driven product solutions.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)