Senior AI Scientist

Intuit

Confirmed live 2 days ago Trusted

Quick summary

Work type
On-site
Location
Oakland, CA
Salary
$180,000–$243,500 / yr
Posted
156 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $205k
This role $212k
$152k most similar roles pay here $258k

This role pays more than 53% of similar roles. Most pay $162,000–$247,718 — the shaded band above. At the midpoint, this role pays about $212k versus about $205k 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 · Senior AI Scientist

As a Senior AI Scientist- Credit Karma, you will join the team to lead the evolution of financial recommendation engines. You will serve as a technical architect responsible for building large-scale models that predict member intent across multiple financial verticals, including credit cards and home loans. Your daily work involves developing recommendation logic that balances immediate revenue with long-term member trust while collaborating with engineering, product, marketing, finance, and analytics teams to define key business metrics. You will solve complex challenges involving Deep Learning, Reinforcement Learning, and Generative AI within a marketplace environment. The role requires expert proficiency in Python, SQL, and modern ML/DL frameworks to build ranking, retrieval, and multi-stage recommendation architectures. You will translate technical concepts into business outcomes to improve personalized financial journeys for members.

What you'll do

  • Architect and develop large-scale models to predict member needs across multiple financial verticals.
  • Build recommendation logic that balances immediate revenue with long-term member trust and lifetime value.
  • Develop advanced machine learning solutions using Deep Learning, Reinforcement Learning, and Generative AI.
  • Design ranking, retrieval, and multi-stage recommendation architectures for personalized financial products.
  • Define key metrics to quantify business outcomes including revenue, engagement, and user experience.
  • Translate complex technical AI concepts into actionable insights for non-technical business partners.
  • Identify problems and own the end-to-end process of moving solutions into production.

What we're looking for

  • MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
  • 5+ years of experience building and deploying machine learning models in a production environment.
  • Expert proficiency in Python and SQL.
  • Deep experience with modern ML/DL frameworks.
  • Experience with ranking, retrieval, and multi-stage recommendation architectures.
  • Experience working on large scale AI systems including generative AI and infrastructure.
  • Experience in an "Ads" or "Marketplace" environment managing trade-offs between product categories.
  • Proven ability to explain complex AI concepts to non-technical stakeholders and link performance to business outcomes.

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