Principal AI Scientist, AI Foundation

Intuit

Confirmed live yesterday High trust

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $230k
This role $322k
$158k most similar roles pay here $392k

This role pays more than 92% of similar roles. Most pay $195,150–$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, AI Foundation

As a Principal AI Scientist - AI Foundation, you will join the PDX AI Foundation team to build capabilities that accelerate AI development across the organization. You will lead technical work for a scrum team, designing model solutions and end-to-end architectures while ensuring high standards for code quality and implementation. Your daily responsibilities include performing hands-on data analysis, building featurization, and developing ETL processes to make large datasets model-ready. You will collaborate with product managers and engineers to align model metrics with business goals and design experiments. The role requires expertise in NLP, Explainable AI, and various machine learning paradigms including Causal-ML, Reinforcement Learning, and Deep Learning. You will utilize Python, Scala, Java, or R to build reusable pipelines while researching new technologies to solve complex problems within the core product area.

What you'll do

  • Develop AI standards, evaluation methodologies, and tools to accelerate development across the organization.
  • Define success criteria and align model metrics with specific business goals in collaboration with stakeholders.
  • Lead a scrum team by designing model solutions and driving end-to-end architecture designs.
  • Perform hands-on data analysis, including ETL processes and building featurization for large datasets.
  • Apply advanced machine learning techniques like NLP, Causal-ML, and Deep Learning to real-world problems.
  • Build end-to-end reusable pipelines from initial data acquisition to final model output delivery.
  • Research and integrate emerging ML technologies from academia and industry to solve customer problems.

What we're looking for

  • 10+ years of industry experience in data science.
  • BS, MS, or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent experience.
  • 8+ years of hands-on expertise in ML paradigms including Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement, or Deep Learning.
  • Proficiency in optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
  • Proficiency in NLP techniques, Explainable AI, and various ML frameworks.
  • Expertise in advanced analytical tools and programming languages including Python, Scala, Java, and/or R.
  • Experience building end-to-end reusable pipelines from data acquisition to model output delivery.
  • Strong oral and written communication skills to explain complex technical concepts to non-technical users.

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