Staff AI Scientist

Intuit

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Mountain View, CA
Salary
$209,500–$283,500 / yr
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $246k
$168k $296k
below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $196,237–$254,812 — the blue band above. At the midpoint, this role pays about $246k versus about $226k 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 263 open roles on FindRole.

Listed pay typically runs $202,500–$274,000 across 244 roles with salary data.

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View all roles at Intuit

At a glance

TL;DR · Staff AI Scientist

As a Staff AI Scientist, you will join a collaborative group of AI scientists and machine learning engineers to build and deploy models that directly impact hundreds of thousands of customers. You will perform hands-on work in machine learning, natural language processing, statistics, or optimization to create new capabilities solving critical business problems. Your daily responsibilities include developing foundational methods from state-of-the-art technologies, conducting design reviews, and leading teams to deliver integrated solutions. 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, and digital twins. You must apply expertise in statistical techniques and cognitive sciences or human psychology to solve complex marketing problems.

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 that solve critical business problems.
  • Develop foundational methods and novel applications from state-of-the-art ML technologies.
  • Lead the successful delivery and integration of ML solutions with internal partners.
  • Conduct design reviews and hold teams to technical and operational rigor.
  • Weigh ROI considerations for general and tailored capabilities on team projects.

What we're looking for

  • PhD or MS in Engineering Mathematics, Statistics, Theoretical/Computational Physics, or a related field.
  • Prior experience or qualifications in Data, Marketing & Sales platforms, media management, or Cognitive sciences/Human Psychology.
  • Expert knowledge and hands-on experience in one or more of ML, NLP, Statistics, or Optimization.
  • Expert knowledge and hands-on experience with ML pipelines, processes, and design patterns.
  • 3+ years of experience manipulating large datasets and using databases such as R, SQL, or S-Plus.
  • 3+ years of experience with a general-purpose programming language such as Python or Scala.
  • Strong communication skills and a proven track record of influencing business leaders and executive-level stakeholders.
  • Proven track record of leading teams to the successful delivery of ML solutions.

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