Principal AI Scientist

Intuit

Confirmed live today High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k
This role $322k
$145k $394k
below market most similar roles pay here above market

This role pays more than 93% of similar roles. Most pay $195,150–$262,637 — the blue band above. At the midpoint, this role pays about $322k versus about $229k 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 255 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 236 roles with salary data.

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At a glance

TL;DR · Principal AI Scientist

As a Principal AI Scientist - DGX, you will join a collaborative group of AI scientists and machine learning engineers to build and deploy models affecting hundreds of thousands of customers. You will perform hands-on work in machine learning, natural language processing, statistics, or optimization to solve critical business problems. Your daily responsibilities include developing foundational methods from state-of-the-art technologies, driving architecture decisions, and creating multi-year visions that connect product strategy with technology strategy. You will utilize Python, Scala, R, SQL, and S-Plus to manipulate large datasets and manage ML pipelines. The work focuses on marketing audiences, brand management, generative engine optimization, price optimization, creative generation, digital twins, and consumer behavioral sciences. You must influence business leaders and mentor colleagues to deliver integrated ML solutions.

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.
  • Create new capabilities to solve critical business problems and develop foundational ML methods.
  • Drive architecture decisions and contribute to the ML platform strategy.
  • Lead teams to the successful delivery and integration of ML solutions.
  • Conduct design reviews and hold teams to technical and operational rigor.
  • Create a multi-year vision connecting product strategy with technology strategy.
  • Influence business leaders to shape mission-critical projects and prioritize ROI.

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 in 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 such as Python or Scala.
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns.
  • Hands-on programming experience and expert knowledge in one or more of ML, NLP, Statistics, or Optimization.
  • Solid knowledge of statistical techniques.
  • Prior experience in Marketing platforms, media management, or Cognitive sciences/Human Psychology (preferred).

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