Senior AI Scientist- Credit Karma
intuitOakland (CA)
Senior AI Scientist- Credit Karma
Posted today
intuitOakland (CA)
SENIORITY
Senior
About the role
Senior AI Scientist 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. We are seeking a Senior AI Scientist to drive innovation in the development and application of data science techniques that power the most relevant financial products including actionable recommendations at Credit Karma. This role is ideal for someone who combines strong machine learning skills with business acumen and cross-functional collaboration.
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
- You will solve challenges ranging from Deep Learning and Reinforcement Learning to recommendation and GenAI for Personal Finance Products
- You will be part of a highly impactful team, who are working on large scale projects that directly impact the business and members
- We value scientists who act like owners—identifying problems, proposing solutions, and seeing them through to production
Qualifications:
- 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.
- Experience with driving monetization, member engagement, longer term member value through AIExperience 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
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