Principal AI Scientist

Intuit

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Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$273,500–$369,500 / yr
Posted
17 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k
This role $322k
$144k most similar roles pay here $394k

This role pays more than 94% of similar roles. Most pay $194,500–$264,812 — the shaded band above. At the midpoint, this role pays about $322k versus about $230k for comparable roles.

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 222 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 199 roles with salary data.

Most-posted roles

View all roles at Intuit

At a glance

TL;DR · Principal AI Scientist

As a Principal AI Scientist - GTM Tech, you will join a collaborative team of scientists and engineers to build and deploy machine learning models that impact hundreds of thousands of customers. You will perform hands-on work in areas such as machine learning, natural language processing, statistics, or optimization to solve critical business problems like marketing audience targeting, brand management, generative engine optimization, price optimization, creative generation, and digital twins. The role requires leveraging Python, Scala, R, SQL, or S-Plus to manipulate large datasets and manage ML pipelines. You will be responsible for creating multi-year visions, influencing executive leadership, and mentoring colleagues while ensuring technical rigor. This position focuses on the evolving marketing landscape by developing foundational methods from state-of-the-art technologies to address complex problems in media management and consumer behavior.

What you'll do

  • Build and deploy machine learning models using analytical algorithms and deep learning approaches.
  • Perform hands-on work in ML, NLP, Statistics, or Optimization domains.
  • Develop foundational methods and novel applications from state-of-the-art ML technologies.
  • Create new capabilities to solve critical business problems like marketing audience targeting and price optimization.
  • Drive architecture decisions for the machine learning platform and strategy.
  • Lead teams through the successful delivery and integration of ML solutions.
  • Conduct design reviews to ensure technical and operational rigor across projects.
  • Mentor colleagues and oversee the development of a vibrant practice community.

What we're looking for

  • PhD or MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or a related field.
  • 3+ years of experience as a lead or in a management position within AI science.
  • 6+ years of experience manipulating large datasets and using databases such as R, SQL, or S-Plus.
  • 6+ years of experience with a general-purpose programming language like Python or Scala.
  • Expert knowledge and hands-on experience in one or more areas: ML, NLP, Statistics, or Optimization.
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns.
  • Strong communication skills with a proven track record of influencing executive leadership and business leaders.
  • Prior experience in marketing platforms, media management, or cognitive sciences/human psychology (preferred).

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