Principal AI Scientist

Intuit

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$273,500–$369,500 / yr
Posted
121 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $231k
This role $322k
$163k most similar roles pay here $392k

This role pays more than 92% of similar roles. Most pay $196,662–$264,787 — the shaded band above. At the midpoint, this role pays about $322k versus about $231k 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 174 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 152 roles with salary data.

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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 using analytical algorithms and deep learning approaches. You will be responsible for developing capabilities in areas such as marketing audiences, brand management, generative engine optimization, price optimization, creative generation, and digital twins. The role requires leading teams in fields like ML, NLP, Statistics, or Optimization while influencing executive leadership to shape mission-critical projects and drive architecture decisions. You will utilize Python, Scala, R, SQL, or S-Plus to manipulate large datasets and manage ML pipelines. Candidates should possess a PhD or MS in Engineering Mathematics, Statistics, or Physics, along with expertise in marketing platforms, media management, or cognitive sciences to solve complex problems within the evolving landscape of marketing technology.

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 technologies.
  • Create new capabilities to solve critical business problems like marketing audience targeting and price optimization.
  • Drive architecture decisions and contribute to the ML platform strategy.
  • Lead teams through the successful delivery and integration of machine learning solutions.
  • Conduct design reviews to ensure technical and operational rigor.
  • 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 general-purpose programming languages like Python or Scala.
  • Expert knowledge and hands-on experience in ML, NLP, Statistics, or Optimization.
  • Expert knowledge of ML pipelines, processes, and design patterns.
  • Experience in marketing platforms, media management, or cognitive sciences/human psychology is preferred.
  • Proven ability to influence executive leadership and lead teams to deliver technical solutions.

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