Staff AI Scientist

Intuit

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Oakland, CAMountain View, CA
Salary: $230,000–$250,000 / yr
Posted: 10 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $225k

This role $240k

$171k most similar roles pay here $290k

This role pays more than 53% of similar roles. Most pay $185,375–$264,625 — the shaded band above. At the midpoint, this role pays about $240k versus about $225k 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 · Staff AI Scientist

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Staff AI Scientist -- Credit Karma joins a high-impact team to drive data-informed decisions and deliver AI-powered recommendation and monetization strategies for personal finance products. This technical leadership role involves identifying opportunities to leverage extensive data to improve user experience, accelerating revenue through improvements in machine learning models, feature engineering, and personalization. The candidate will participate in research regarding Generative AI, Deep Learning, and Recommender systems while collaborating across engineering, product, marketing, and finance departments to define business metrics and design experiments. The role requires a deep statistical understanding to architect next-generation ML systems and translate complex technical concepts for business partners. Required skills include proficiency in Python, Java, and SQL, alongside experience with large-scale machine learning models and data foundations to solve challenges within the personal finance domain.

Skills

Machine Learning Generative AI Deep Learning Recommender Systems Python Java SQL Feature Engineering Data Science AI Infrastructure Analytics

What you'll do

Develop and improve machine learning models to drive revenue, engagement, and personalized user experiences.
Research and implement advanced techniques in GenAI, Deep Learning, and Recommender systems for personal finance.
Design and execute experiments using a solid statistical basis to quantify business metrics like revenue and engagement.
Engineer features including user profiles and behavior to optimize large-scale machine learning models.
Translate complex technical AI concepts into actionable insights for non-technical business partners.
Identify high-impact opportunities to leverage company data for improved member services.
Represent the organization as a technical evangelist in external forums, conferences, and meetups.

What we're looking for

MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
7+ years of industrial experience in Data Science and Machine Learning.
Deep statistical understanding to architect and develop next-generation ML systems.
Proficiency in programming languages such as Python, Java, and SQL.
Experience with large-scale AI systems including Generative AI and Recommender systems.
Ability to translate complex technical subject matter into actionable insights for business partners.
Experience driving monetization, member engagement, and long-term value through AI.
Experience in ads business and product environments.

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