Tech Lead, AI & Personalization at Scale

Intuit, Inc.

United States

On-site

USD 226,000 - 306,000

Full time

13 days ago

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Job summary

Intuit Credit Karma seeks a Senior Staff AI Scientist to lead the evolution of recommendation engines from static matching to dynamic, intent-aware personalization. You will architect systems that determine which financial products are shown to 100M+ members, balancing monetization with member trust.

As Tech Lead, you will drive the technical vision for user understanding and recommendation stacks, mentor junior scientists, and partner with product and leadership to define the future of members’

Qualifications

  • MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline.
  • 7+ years of industrial experience in Machine Learning, with 3 years in a technical lead capacity specifically focused on Ranking, Search, or Recommendation Systems.
  • Proven track record of designing and deploying high-scale, multi-stage ranking pipelines in a production environment.
  • Exceptional ability to communicate technical complexity to executive leadership and influence stakeholders across product, business and engineering.

Responsibilities

  • Lead the design and evolution of ML models that understand user intent, financial journeys, and engagement patterns, powering recommendation and ranking systems across Intuit Credit Karma's financial product ecosystem.
  • Serve as the primary technical authority for AI Science, partnering with product to define the multi-year roadmap and collaborating with engineering to ensure models are matched by scalable, low-latency production infrastructure.
  • Act as a force multiplier — setting modeling and coding standards, conducting deep-dive reviews, and building a culture of scientific rigor across the organization.
  • Partner across the organization to identify high-impact opportunities to leverage Intuit Credit Karma's rich dataset for Personal Finance personalization, targeting, approval odds, and marketing optimization.
  • Drive revenue growth through disruptive and continuous improvements in targeting, feature engineering, user profiles, and personalization models.
  • Represent AI Science in executive and business reviews, translating complex technical work into clear business impact.
  • Represent Intuit Credit Karma externally — at conferences, speaking engagements, and meetups — as a thought leader and talent magnet.
  • Participate in research on frontier areas including deep learning, recommender systems, multi-objective optimization, and financial AI.

Skills

Machine Learning
Ranking Systems
Recommender Systems
Technical Leadership
Stakeholder Communication

Education

MS in Computer Science, Mathematics, Statistics, Physics or related quantitative discipline

Job description

Intuit Credit Karma seeks a Senior Staff AI Scientist to lead the evolution of recommendation engines from static matching to dynamic, intent-aware personalization. You will architect systems that determine which financial products are shown to 100M+ members, balancing monetization with member trust.

As Tech Lead, you will drive the technical vision for user understanding and recommendation stacks, mentor junior scientists, and partner with product and leadership to define the future of members’

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