Intuit
Senior Staff AI Scientist
$226K–$306K
Oakland, California +1 · Senior Staff · Full-time · Posted Oct 14, 2026
- Location
- Oakland, California
Mountain View, California - Experience
- 7+ years of industrial experience in Machine Learning, with 3 years in a technical lead capacity specifically focused on Ranking, Search, or Recommendation Systems.
- Education
- MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline.
About the job
Leads AI Science strategy and develops large-scale ranking and recommendation systems that personalize financial products for Credit Karma members.
What you'll do
- Lead design and evolution of machine-learning models for user intent, financial journeys, engagement, ranking, and recommendations.
- Set technical direction and standards, mentor scientists, and partner with product and engineering on roadmaps and production systems.
- Identify personalization and targeting opportunities and communicate technical work and business impact to executives and external audiences.
What they ask for
- MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
- 7+ years of industrial experience in Machine Learning, including 3 years in a technical lead capacity focused on Ranking, Search, or Recommendation Systems.
- Track record designing and deploying high-scale, multi-stage ranking pipelines in production.
- Ability to communicate technical complexity to executives and influence product, business, and engineering stakeholders.
Nice to have
- Experience with multi-objective optimization and ranking systems balancing business and user goals.
- Familiarity with survival analysis, time-series forecasting, or sequence-to-sequence modeling.
Pay
Oakland $226,000 - $306,000 (base salary)
Tools
Machine Learning, Ranking, Search, Recommendation Systems, deep learning, multi-objective optimization, survival analysis, time-series forecasting
AI focus
Builds intent-aware personalization and recommendation systems for financial products, including ranking, targeting, approval odds, and marketing optimization.
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