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Intuit · 19 hours ago

AI Scientist Intern

Mountain View, CA

Internship

Onsite

Intern

Intuit is a company focused on transforming the world of consumer and small business finance. As an AI Scientist Intern, you will work alongside AI Scientists and Machine Learning Engineers to develop machine learning models that enhance customer experiences across Intuit's products.

AccountingFinancial ServicesFinTechPaaSSoftware

Growth Opportunities

No H1B

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

Qualification

Machine Learning TechniquesPythonData AnalysisScalaHadoopSparkFast LearnerCommunication

Required

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

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

Ability to work onsite for a minimum of 3 days per week

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