Overview

　　*This position is intended for students in a degree-seeking program, to which they will return at the end of the summer internship in 2024. If you do not meet these minimum criteria, please revisit our careers site for other opportunities. *

　　Want to apply your technical skills and innovative ideas on top of the collective financial data of 40+ million consumers and small businesses, and help build data products (in TurboTax, QuickBooks, and Credit Karma) that solve real-world customer problems and power prosperity around the world?

　　Intuit is seeking Data Science Interns to join us this Summer (2024). Working side-by-side with Intuit's Data Scientists and Machine Learning Engineers – along with Data Analysts, Software Engineers, and product managers – you will help us understand and improve customer experiences with our products by uncovering critical insights and developing machine learning models.

　　Areas we are exploring:

　　Times series forecasting

　　Knowledge Engineering

　　Reinforcement Learning/Bandits/Causal Inference

　　Image/document understanding

　　Intent classification

　　NLP/NLU/NLG

　　Conversational UI, Chatbots

　　Personalization and recommendation

　　Deep learning

　　Semi-supervised learning

　　ML services (autoML, feature recommendation, explainable AI, etc)

　　What you'll bring

　　Must be currently enrolled in a degree seeking program and return to school after internship is complete

　　PhD in Computer Science or related technical field (will consider Masters students with previous experience)

　　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)

　　Excellent communication skills and ability to learn fast

　　Experience in developing machine learning solutions to solve real-world problems is a plus

　　Experience with Hadoop or Spark is a plus

　　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

　　How you will lead

　　Sample intern projects from previous years:

　　Adversarial Deep Learning ranking algorithms for question-answer forums

　　Use topic modeling to link form lines to verbose instruction/publication documents

　　Patch-based information extraction using an unsupervised form segmentation algorithm

　　Assess agent call quality using call transcript data

　　Apply deep learning for transaction time series forecasting with uncertainty estimation

　　Explore active learning to improve the event labels used to train our supervised models

　　Predict cognitive biases using financial data

　　A Deep-Learning Approach to building Temporal Recommendation Models

　　Real-Time Churn Prediction Models

　　Developing an unsupervised knowledge acquisition for question answering with Pre-trained Language Models

　　Developing a customer intent classifier model for Intuit Digital Assistant

　　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.