AI Science Intern

Intuit

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Mountain View, CASan Diego, CANew York, NYAtlanta, GA
Employment
Intern
Posted
54 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $176k
$102k $250k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $116,675–$235,487.

Based on 240 similar postings.

Employer

About Intuit

Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology

Intuit currently has 256 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 237 roles with salary data.

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At a glance

TL;DR · AI Science Intern

The Summer 2027: AI Science Intern joins the AI Science team to develop powerful machine learning models that enhance customer experiences across the product ecosystem. Working alongside AI Scientists, Researchers, and Machine Learning Engineers, the intern will gather, clean, and explore large real-world datasets to perform ETL and data wrangling. Key responsibilities include building, training, and evaluating deep learning models using classification, regression, clustering, and neural networks. The role involves engineering features, designing experiments like A/B tests, and performing statistical analysis. Candidates must possess strong programming skills in Python and SQL, along with familiarity with mathematical foundations of machine learning. The work focuses on solving technical problems such as transaction time series forecasting, NLP for linking documentation, and exploring generative AI and large language models.

What you'll do

  • Gather, clean, and explore large real-world datasets to uncover patterns and prepare them for modeling.
  • Build, train, and evaluate machine learning and deep learning models using classification, regression, and neural networks.
  • Engineer and refine features from raw data to improve model performance.
  • Design and run experiments, perform statistical analysis, and communicate model impacts to leadership.
  • Research current AI/ML methodologies, including generative AI and LLMs, to inform new solutions.
  • Develop proofs-of-concept for innovative, AI-driven features or solutions.
  • Create clear documentation of research, model architectures, code, and experimental results for various audiences.

What we're looking for

  • You must be currently enrolled in a degree-seeking program with an expected graduation date after the internship ends.
  • You must be currently enrolled in a PhD program in Computer Science or a related technical field.
  • You may be eligible if enrolled in a Bachelor's or Master's program with prior relevant experience and a graduation date after the internship ends.
  • You must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
  • You must have strong programming skills in Python and proficiency in SQL.
  • You must have familiarity with core machine learning techniques and their mathematical foundations.
  • You must have the ability to explore, discover, and import data from multiple sources to make it machine-learning ready.
  • You must have excellent communication skills and a learning mindset.

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