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
148 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k
This role $322k
$154k most similar roles pay here $393k

This role pays more than 92% of similar roles. Most pay $194,375–$264,787 — 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 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, 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 lead work in domains such as ML, NLP, Statistics, or Optimization while performing hands-on technical tasks. Your role involves creating new capabilities to solve critical business problems, developing foundational methods from state-of-the-art technologies, and defining multi-year visions that connect product strategy with technology strategy. You will influence executive leadership, drive architecture decisions for ML platforms, and mentor colleagues to build a vibrant practice community. Required skills include expert knowledge of ML pipelines, design patterns, and statistical techniques. You must be proficient in general-purpose programming languages like Python or Scala, and experienced with SQL and R for manipulating large datasets.

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.
  • Develop foundational methods and novel applications from state-of-the-art ML technologies.
  • Drive architecture decisions and contribute to the ML platform strategy.
  • Lead teams and partners to deliver and integrate machine learning solutions.
  • Conduct design reviews while maintaining technical and operational rigor for the team.
  • Create a multi-year vision connecting product strategy with technology strategy.

What we're looking for

  • PhD or MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or a related field.
  • Solid knowledge of statistical techniques.
  • 3+ years of experience as a lead in an AI science role 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 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.
  • Proven ability to influence executive leadership and lead teams to deliver integrated ML solutions.

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