Senior AI Science

Overview

The AI Science team in the AI Security team in Intuit develops game-changing, innovative technologies that redefine and disrupt our current Security product offerings, helping Intuit protect its GenAI applications and infrastructure from the constantly-evolving threat landscape.

As a Senior AI scientist in the team, you’ll be prototyping,building and delivering algorithms based on multiple data sources, focusing on LLM prompts and agentic application calls, of 100+ million consumers and small businesses.

We are looking for team members that love new challenges, cracking tough problems, and working cross-functionally. You will be working end-to-end from ideation to implementation and have an opportunity to see your models make a significant impact on Intuit’s products’ and customers’ security.

Responsibilities

• Develop ML models to identify security exploits, that based on a wide range of algorithms and techniques (classification, clustering, graph based)
• Explore various data sources while leveraging your domain knowledge to craft creative features to boost model performance
• Lead and innovate AI projects in the Security domain, lead discussions and understand the needs of the project from the business units and be able to integrate your domain knowledge into the algorithms you'll build and implement in production
• Be an active partner of the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation, and visualization
  
  

We encourage you to apply if you…

• Are excited and passionate about fighting security attacks and product abuse using advanced ML techniques, with cutting-edge and constantly evolving technology
• Love working as part of a team of experienced data scientists that love research and innovation just as much as they love getting models to production and making an impact
• Are interested in partnering with Security analysts and researches to implement your ideas into mitigation policies that keep the hackers and fraudsters away
• Take pride in having end to end ownership of your models - from conception, throughout research and development to production and monitoring
  
  

Qualifications

• MSc or PhD in a computational or statistical field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research), or equivalent experience
• 3+ years’ Data Science experience, preferably with Fraud, Security or Credit Risk Detection solutions
• Experience working on one of the cloud platforms: AWS, GCP, Azure
• Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
• Security domain expertise — an advantage
• Familiarity with LLM based applications, and REST or GraphQL APIs — an advantage
• Resourceful, motivated, and organized
  
  

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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: