AI Science Intern

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CASan Diego, CANew York, NYAtlanta, GA
Employment
Intern
Posted
2 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $184k
$113k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $126,800–$241,750.

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 187 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 162 roles with salary data.

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At a glance

TL;DR · AI Science Intern

As a Summer 2027: AI Science Intern, you will join a collaborative team of AI Scientists, Researchers, and Machine Learning Engineers to develop powerful machine learning models that enhance customer experiences across the product ecosystem. Your daily responsibilities include gathering, cleaning, and exploring large real-world datasets through wrangling and ETL processes to prepare them for modeling. You will build, train, and evaluate deep learning and machine learning models using techniques like classification, regression, clustering, and neural networks. Additionally, you will engineer features, run A/B tests, and conduct statistical analysis while researching generative AI and large language models. To succeed, you must possess strong Python and SQL programming skills along with a solid understanding of mathematical foundations for core machine learning. You will also create technical documentation and develop proofs-of-concept for innovative, AI-driven features.

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, clustering, and neural networks.
  • Engineer and refine features from raw data to improve model performance.
  • Design and run experiments such as A/B tests and perform statistical analysis to communicate impact.
  • 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 diverse audiences.

What we're looking for

  • Must be currently enrolled in a degree-seeking program with an expected graduation date after the internship ends.
  • Candidates must be pursuing a PhD in Computer Science or a related technical field (or a Bachelor's/Master's with relevant experience).
  • Must be legally authorized to work in the United States on a full-time basis for the duration of the internship.
  • Familiarity with core machine learning techniques and their mathematical foundations is required.
  • Ability to explore, discover, and import data from multiple sources to make it machine-learning ready.
  • Strong programming skills in Python and proficiency in SQL are required.
  • Curiosity about generative AI and large language models (preferred).
  • Excellent communication skills and a learning mindset are required.

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