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