This position is for students currently enrolled in a degree program. To qualify, applicants must be returning to their academic institution at the end of Summer 2026, with a graduation date of December 2026 and beyond. If you do not meet these criteria, we invite you to explore other opportunities available on our careers website.
At Intuit, we believe in the power of early talent. Our internship and co-op program provides hands-on experience, mentorship, and opportunities to contribute to real-world projects that impact millions. We get up every morning with our hearts beating fast, driven by the knowledge that we're transforming the world of consumer and small business finance. It’s why our products continue to resonate with 50 million consumers around the globe.
Ready to dive deep into the world of AI and make a real impact? As an AI Science Intern at Intuit, you won't just be observing; you'll be on the front lines. You'll work side-by-side with our world-class AI Scientists and Machine Learning Engineers, collaborating with Data Analysts, Software Engineers, and product managers. This is your chance to uncover critical insights and develop powerful machine learning models that directly understand and enhance customer experiences across Intuit's beloved products..
Some projects previous AI Science interns have worked on:
- Improving customer experiences by applying adversarial deep learning to ranking algorithms and assessing call quality using transcript data.
- Innovating with NLP and Deep Learning to link form lines to documentation, build temporal recommendation models, and develop unsupervised knowledge acquisition for Q&A systems.
- Forecasting and Prediction through transaction time series forecasting, real-time churn prediction, and predicting cognitive biases with financial data.
- Enhancing Model Training by exploring active learning for event labels and creating customer intent classifiers for digital assistants.
Responsibilities
- Gather, clean, and perform exploratory analysis on large datasets to uncover patterns and prepare them for modeling.
- Build, train, and evaluate various machine learning and deep learning models.
- Dive into cutting-edge AI research and methodologies to inform new solutions and stay ahead of the curve.
- Analyze model results and data to extract meaningful insights and provide actionable recommendations.
- Develop proofs-of-concept for innovative, AI-driven features or solutions.
- Work closely with diverse teams, clearly communicating your findings and progress to both technical and non-technical stakeholders.
- Create clear documentation for your research, model architectures, code, and experimental results.
Qualifications
- Desire to learn and grow within a technical environment.
- Excellent verbal and written communication skills.
- Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations
- Ability to explore, discover and import data from multiple sources and make them machine learning ready
- Design and test hypotheses about causes and cures
- Strong programming skills (Python and Scala preferred)
- Experience in developing machine learning solutions to solve real-world problems
- Experience with Hadoop or Spark
- Published works in top tier data science and machine learning conferences such as KDD, ICML, NIPS, ICLR, ACL, SIGIR, WWW, CVPR, SIGMOD, etc. is a plus
- Currently enrolled in a PhD program in Computer Science or a related technical field. Alternatively, a Bachelors or Masters program with prior relevant experience.
- A graduation date at least 4 months after the end of the internship
- Must be legally authorized to work in the US on a full-time basis during the duration of the internship
- Ability to work onsite for a minimum of 3 days per week in one of the following Intuit locations: Mountain View, San Diego, New York, or Atlanta
