Staff AI Scientist, Consumer Group AI

Intuit

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Quick summary

Work type: On-site
Location: Mountain View, CA
Salary: $209,500–$283,500 / yr
Posted: 67 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $216k

This role $246k

$155k $297k

below market most similar roles pay here above market

This role pays more than 68% of similar roles. Most pay $177,250–$254,000 — the blue band above. At the midpoint, this role pays about $246k versus about $216k 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 · Staff AI Scientist, Consumer Group AI

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As a Staff AI Scientist on the Consumer Group AI Team, you will provide technical leadership to drive the application of AI science across the organization. You will lead scrum teams to design end-to-end model architectures, performing hands-on data analysis, ETL, and feature engineering on large datasets. Your daily work involves applying NLP, machine learning paradigms like classification, regression, deep learning, and recommender systems to real-world problems. You will use Python, Scala, Java, or R alongside SQL, Hive, and SparkSQL in Linux environments to build reusable ML pipelines. Key responsibilities include designing A/B tests, utilizing optimization techniques like gradient-based or Bayesian methods, and implementing Explainable AI. You will align model metrics with business goals to directly shape the customer experience through data-driven decision making.

Skills

Machine Learning NLP Python Scala Java R SQL SparkSQL Hive Deep Learning ETL Feature Engineering Data Mining Explainable AI Linux Scrum ML Pipelines

What you'll do

Lead scrum teams to design model solutions and drive end-to-end architecture.
Align model metrics with business goals by defining success criteria with stakeholders.
Perform hands-on data analysis, ETL, and feature engineering on large datasets.
Apply NLP, deep learning, and recommender systems to solve real-world problems.
Design and run A/B tests to communicate impact and recommendations to leadership.
Build reusable, end-to-end machine learning pipelines.
Mentor and provide technical direction to other AI Scientists on the team.

What we're looking for

BS, MS, or PhD in Computer Science, Statistics, Mathematics, Economics, Operations Research, or a related quantitative field.
4+ years of industry experience in AI Science, Machine Learning, or a related field (Masters + 5 years or PhD + 3 years).
Strong experience with optimization techniques (combinatorial, gradient-based, Bayesian), NLP, and Explainable AI.
Proficiency in Python, Scala, Java, and/or R.
Strong SQL, Hive, SparkSQL skills and comfort working in Linux environments.
Demonstrated ability to build reusable, end-to-end ML pipelines.
Tech lead scope with strong end-to-end model experience, including scalability.
Strong communication skills to translate complex technical work for both technical and non-technical audiences.