Intuit is looking to solve business and technical problems by developing powerful machine learning models that directly understand and enhance customer experiences across Intuit's beloved products, leveraging AI and early talent.
Requirements
- 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
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.
Other
- This position is for students currently enrolled in a degree program.
- applicants must be returning to their academic institution at the end of Summer 2026, with a graduation date of December 2026 and beyond.
- Desire to learn and grow within a technical environment.
- Excellent verbal and written communication skills.
- Must be legally authorized to work in the US on a full-time basis during the duration of the internship
