Staff AI Scientist

Intuit

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Oakland, CAMountain View, CA
Salary
$230,000–$250,000 / yr
Posted
68 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $220k
This role $240k
$159k $281k
below market most similar roles pay here above market

This role pays more than 64% of similar roles. Most pay $186,375–$254,000 — the blue band above. At the midpoint, this role pays about $240k versus about $220k 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

JOB TITLE: Staff AI Scientist -- Credit Karma As a Staff AI Scientist at Credit Karma, you will join a highly impactful team to drive data-informed decisions and deliver AI-powered recommendation and monetization strategies. You will be responsible for accelerating revenue and engagement by developing and improving machine learning models for targeting, marketing campaigns, and personalization. Your daily work involves feature engineering for user profiles, designing experiments with solid statistical bases, and collaborating across engineering, product, marketing, finance, and analytics departments. You will utilize Python, Java, and SQL to architect next-generation ML systems. The role focuses on solving personal finance challenges by exploring frontiers in GenAI, Deep Learning, and Recommender systems to provide actionable recommendations and optimize large-scale machine learning models for various financial products.

What you'll do

  • Identify high-impact opportunities to leverage extensive data to better serve users.
  • Improve revenue and engagement through continuous enhancements to machine learning models and feature engineering.
  • Conduct research into GenAI, Deep Learning, and Recommender systems for personal finance applications.
  • Define business metrics and provide statistical bases for designing experiments.
  • Translate complex technical subject matter into actionable insights for business partners.
  • Represent the company as an evangelist in external forums such as conferences and meetups.
  • Optimize large-scale machine learning models for personal finance products.

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, Machine Learning, and related areas.
  • Deep statistical understanding and ability to architect and develop next-generation ML systems.
  • Strong background in programming languages such as Python, Java, and SQL.
  • Experience driving monetization, member engagement, and long-term member value through AI (preferred).
  • Experience working on large-scale AI systems including generative AI, AI infrastructure, and data foundations (preferred).
  • Ability to balance fast-paced environments at a large-scale company (preferred).
  • Ads business and product experience (preferred).

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