Intuit
Staff AI Scientist -- Credit Karma
$210K–$284K
Oakland, California +1 · Staff · Full-time · Posted Aug 20, 2026
- Location
- Oakland, California
Mountain View, California - Experience
- 7+ years of industrial experience in Data Science, Machine Learning, or related areas; ideally in hyper-growth consumer Internet scenarios.
- Education
- MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
About the job
Leads machine learning and AI initiatives that improve financial product recommendations, personalization, monetization, and member engagement at Credit Karma.
What you'll do
- Identify high-impact uses of data and develop machine learning models, features, and personalization strategies for financial products.
- Research and apply GenAI, deep learning, and recommender systems; design metrics and statistically grounded experiments.
- Represent Data Science in cross-functional reviews, communicate technical work to business partners, and represent Credit Karma at external events.
What they ask for
- MS in Computer Science, Mathematics, Statistics, Physics, or a related quantitative discipline.
- 7+ years of industrial experience in Data Science, Machine Learning, or related areas.
- Deep statistical understanding and ability to architect and develop next-generation ML systems.
- Strong programming background, such as Python, Java, or SQL.
Nice to have
- Experience driving monetization, member engagement, or long-term member value through AI.
- Experience with large-scale AI systems, generative AI, AI infrastructure, data foundations, self-serve analytics, or ads products.
Pay
$230,000- $250,000 USD base salary; Oakland $209,500 - $283,500 USD base salary; Mountain View, CA $209,500- $283,500 USD base salary
Tools
Python, Java, SQL, GenAI, Deep Learning, Recommender systems
AI focus
Applies machine learning and GenAI to financial product recommendations, personalization, monetization, engagement, and large-scale AI systems.
Model-written summary · the original posting is authoritative