Overview

Come join the NLP team as a Staff Data Scientist.

We are building the Intuit Foundational LLM, as part of a proprietary Generative AI operating system (GenOS) platform.

What you'll bring

• Practical LLM development knowledge
• Deep interest in cutting-edge innovative technologies in NLP, AI, ML, or DL
• Deep technical understanding of underlying DS concepts (not just training models)
• Collaboration with partners across the globe, to deliver complex projects
• Overview The Data Science team in the API Security group in Intuit develops game-changing technologies, that redefine and disrupt our current Security product offerings, helping Intuit protect its API from Security and Fraud abuse.
  
  

As an intern in the team, you’ll be building and prototyping algorithms based on web APIs data of 100+ million consumers and small businesses.

A successful internship will result in a positive, measurable impact on one or more products in the company.

In this position you will have close collaboration with members of the ML/AI team, Security researchers, Fraud analysts, as well as the product and data teams in other business units.

Our internship program lasts for a year: with full-time employment during the summer and the semester breaks, part-time (2 days a week) employment during the semester itself, and vacations during the exam prep weeks.

What you'll bring

• MSc or PhD student in an appropriate technology field: Computer Science, Statistics, Applied Math, Electrical Engineering
• 1 year remaining to graduation
• Experienced in modern, advanced analytical tools and programming languages such as Python with scikit-learn or R
• Strong passion for learning and ability to adapt to new technologies
• SQL or other query languages — an advantage
• Security domain expertise — an advantage
• REST or GraphQL APIs — an advantage
• Experienced in writing up research projects for academic papers or reports
• Resourceful, motivated, and organized
  
  

How you will lead

• Perform hands-on data analysis, research, and modeling with huge data sets
• Apply Data Mining and Machine Learning methods to derive actionable insights
• Learn and gain domain expertise to help direct your research
• Learn technologies, programming languages, and methodologies necessary for your project