Principal AI Scientist

Company Overview

Job Overview

Intuit is looking for a highly motivated and experienced Principal Machine Learning Engineer to join the Monetization & Personalization team. Our mission is to drive measurable business and customer impact by building intelligent, personalized, and revenue-optimizing experiences across Intuit’s ecosystem of financial products.

In this role, you will lead the design and deployment of advanced Machine Learning and AI systems that power personalized recommendations, dynamic pricing, offer optimization, customer segmentation, experimentation, and lifecycle monetization. You will work closely with Data Scientists, Product Managers, and Engineers to translate customer intent and behavioral signals into scalable, production-ready ML solutions that improve engagement, conversion, retention, and lifetime value.

Responsibilities

• Lead the design, implementation, and deployment of end-to-end ML systems that drive personalization and monetization use cases such as recommendations, next-best-action, offer targeting, pricing optimization, churn prediction, and customer lifetime value modeling.

• Architect scalable ML platforms and pipelines for ingesting high-volume behavioral, transactional, and contextual data; building robust training, evaluation, and experimentation frameworks; and deploying models that deliver quantifiable revenue and customer outcomes.

• Embed Intuit’s domain expertise into models using techniques such as feature engineering, representation learning, fine-tuning, prompt engineering, and hybrid rule-based + ML approaches where appropriate.

• Accelerate innovation through rapid experimentation, building prototypes to validate hypotheses and scaling successful approaches into reliable, production-grade systems.

• Partner closely with Product, Data Science, and Design teams to align ML solutions with monetization strategy, customer journeys, and personalization goals.

• Define and drive a multi-year technical roadmap for personalization and monetization ML, ensuring the team stays ahead of industry trends in AI, experimentation, and decision intelligence.

• Influence and contribute to Intuit’s ML platform architecture, including model serving, feature stores, experimentation platforms, and real-time decisioning systems.

• Champion technical excellence, operational rigor, and responsible AI practices, including fairness, transparency, and measurement of customer impact.

• Mentor and grow junior engineers, setting a high bar for engineering quality, ML rigor, and system design.

Qualifications

• MS or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field; equivalent industry experience will be considered.

• 10+ years of experience building and deploying Machine Learning solutions in production, with demonstrated impact on business or customer outcomes.

• Strong Computer Science fundamentals, including data structures, algorithms, distributed systems, and performance optimization.

• Expertise in Python, Java, or Scala, and ML frameworks such as TensorFlow or PyTorch.

• Solid understanding of ML techniques relevant to personalization and monetization, including:

  • Recommendation systems

  • Classification and regression models

  • Customer segmentation and propensity modeling

  • Experimentation, A/B testing, and causal inference (nice to have)

• Experience designing highly scalable ML systems on cloud platforms (AWS, GCP, or Azure) that serve millions of users with low latency and high reliability.

• Strong communication and collaboration skills, with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: