About the job
Intuit Credit Karma is looking for a Senior AI Scientist to lead the evolution of our financial recommendation engines. In this role, you will be the technical architect behind how we understand, predict, and act on member intent. You will move beyond simple click-prediction to build a holistic map of the member’s financial journey, ensuring that every recommendation—from credit cards to home loans—is perfectly timed and deeply personalized. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, marketing, finance and analytics.
Responsibilities
Lead the development of large-scale models that predict not just what a member needs, but when they need it across multiple financial verticals
Build recommendation logic that balances immediate revenue with long-term member trust and lifetime value
Collaborate closely with partner teams to define metrics that quantify various aspects of our business, including but not limited to revenue, engagement, user experience, etc.
Represent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partners
Solve challenges ranging from Deep Learning and Reinforcement Learning to recommendation and GenAI for Personal Finance Products
Be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
Value scientists who act like owners—identifying problems, proposing solutions, and seeing them through to production
Qualifications
Minimum
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 (ideally in consumer tech, fintech, or e-commerce)
Expert proficiency in Python and SQL, with deep experience in modern ML/DL frameworks
Experience with ranking, retrieval, and multi-stage recommendation architectures
Proven ability to explain complex AI concepts to non-technical stakeholders and link model performance to business outcomes
Preferred
Experience with driving monetization, member engagement, longer term member value through AI
Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, data foundation, and self-serve analytics through DS methods
Experience in an 'Ads' or 'Marketplace' environment where you manage trade-offs between different product categories
Ability to balance fast paced environments at a large scale company