Intuit is looking for AI research interns to work on foundational AI problems that directly influence Intuit's portfolio of fintech offerings to millions of consumers and small businesses, aiming to transform the world of consumer and small business finance.
Requirements
- Experience in one area of AI (e.g., natural language processing, large language modeling, generative AI, uncertainty quantification, reinforcement learning, algorithmic foundations of optimization, or similar areas).
- Experience with developing and debugging in Python with Tensorflow, Pytorch, or similar frameworks
Responsibilities
- research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers’ needs, both current and future.
- work on cutting edge AI technologies, leading to innovative solutions that push the state of the art in AI while improving our customer experience.
- work on foundational AI problems that directly influence Intuit’s portfolio of fintech offerings to millions of consumers and small businesses.
- contribute to real-world projects that impact millions.
- research and apply the latest innovation in relevant topics to develop advanced capabilities that serve our customers’ needs, both current and future.
Other
- Currently enrolled in a PhD program in Computer Science/Electrical Engineering/Statistics/Applied Mathematics or a related field.
- Established track record of publication, ideally demonstrated through first author publications in top tier AI conferences ( e.g. NeurIPS, ICML, ACL, AAAI, EMNLP, ACL, AISTATS, KDD)
- Experience in dissemination of scientific work in English through paper submissions, and conference presentations.
- Must be legally authorized to work in the US on a full-time basis during the duration of the internship
- A graduation date at least 4 months after the end of the internship
- Ability to work onsite for a minimum of 3 days per week
