Science

Lensa is a career site that helps job seekers find great jobs in the US. We are not a staffing firm or agency. Lensa does not hire directly for these jobs, but promotes jobs on LinkedIn on behalf of its direct clients, recruitment ad agencies, and marketing partners. Lensa partners with DirectEmployers to promote this job for Intuit. Clicking "Apply Now" or "Read more" on Lensa redirects you to the job board/employer site. Any information collected there is subject to their terms and privacy notice.

Overview

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.
  
  

What You'll Bring

• 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, 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
  
  

The pay range for this position is $36.50 - $73.79 USD, and varies based on education and location.

About Intuit, Inc.

Join our mission to power prosperity around the world. Intuit has been revolutionizing the financial industry since the company was founded over 40 years ago. Through innovations in our evolving suite of products including TurboTax, QuickBooks, Credit Karma, and Mailchimp, we help consumers, small business owners, and the self-employed achieve their financial goals. From uncovering data patterns for how wealth is created to designing conversational interfaces that deliver personalized experiences, we're using AI, ML, and Intuit's unrivaled set of data to help millions reach financial freedom.

At Intuit, diversity and inclusion isn't just something we do -- it's part of who we are. Our culture has earned us a spot on "Best Companies to Work For" lists year after year. When our workforce composition reflects our customers and communities, we believe we can develop deeper customer empathy, accelerating innovation to solve the biggest problems our customers face.

We're dedicated to living our mission of powering prosperity, not just through our products, but through our social impact initiatives. Through Intuit's Prosperity Hubs, we're bringing new jobs, teaching new skills, and supporting small businesses in distressed communities to help local economies rebuild and thrive.Learn more about our Intern, Co-op, and full-time opportunities:

How You Will Lead

• 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.
  
  

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

If you have questions about this posting, please contact [email protected]