Intuit is looking to solve real-world problems in AI and machine learning to enhance customer experiences across its products, including TurboTax, QuickBooks, Credit Karma, and Mailchimp.
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
- 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
- Desire to learn and grow within a technical environment.
- Excellent verbal and written communication skills.
- 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
