Intuit Inc

Senior AI Scientist

Intuit Inc • $165K — $223K *
San Diego, CA 92154In-Person
Finance & Insurance
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • MS or PhD in a quantitative discipline (Computer Science, Statistics, etc.).
  • 4+ years experience with machine learning models in production, ideally in fintech or security.
  • Expert proficiency in Python and SQL, and familiarity with ML frameworks like TensorFlow and PyTorch.
  • Experience in deploying models that impact business outcomes, including monitoring and improvements.
  • Strong statistical modeling background, including classification and anomaly detection work.
  • Experience handling class imbalance and using advanced evaluation metrics.
  • Comfortable with large data ecosystems and Linux environments.

Responsibilities

  • Design and deploy ML models for real-time fraud detection across customer interactions.
  • Own the end-to-end model lifecycle from data discovery to improvement post-deployment.
  • Develop advanced detection methods beyond traditional classification techniques.
  • Continuously monitor models for performance degradation and new attack patterns.
  • Leverage generative AI to enhance ML tools and automate workflows.
  • Conduct experiments and A/B tests to derive actionable insights.
  • Collaborate with various teams to ensure model outputs drive enforcement and enhancement.

Benefits

  • Competitive compensation package with performance-related rewards.
  • Potential for cash bonuses and equity rewards.
  • Comprehensive benefits package.
Full Job Description
Fraud is an adversarial problem: the actors behind malicious activities such as account takeover and product abuse change tactics swiftly and unpredictably. We are looking for a Senior AI Scientist to build the detection models that stay one step ahead of them.

You will own fraud detection models end to end, from problem framing and data discovery through feature engineering, production deployment, and monitoring in a live environment. The work spans real-time risk scoring, entity-level and graph-based anomaly detection, and generative and agentic AI applied both to catching bad actors and accelerating the teams who act on our signals. You will join a distributed team of AI scientists and partner closely with other teams in Trust & Safety (Policy, Investigations, ML Engineering, and Analytics) to design and release models that excel at catching fraud while minimizing customer friction and operational cost.

Responsibilities
    • Design, build, and deploy machine learning models that detect fraud and abuse across the customer lifecycle (account creation, authentication, and in-product activity) in both real-time and batch settings.
    • Own models end to end: discover data sources, build ETL, engineer features, train and validate, partner with AI Engineering to productionize, then monitor, retrain, and improve in production.
    • Develop detection approaches beyond standard supervised classification, including entity-level anomaly detection, graph and link analysis, unsupervised clustering for novel attack patterns, and behavioral modeling.
    • Monitor deployed models for drift and emerging attack patterns, and build the feedback loops that allow for quick and automated model retraining and improvement.
    • Apply generative and agentic AI to complement classical ML tools: classifying unstructured signals, explaining model outputs and decisions, and automating manual investigation workflows.
    • Design and run experiments and champion/challenger tests, drawing defensible conclusions to determine operating thresholds and downstream actions.
    • Partner with Policy and Investigations to turn detection signal into enforcement action, and investigator feedback into better features and labels.
    • Represent AI Science in cross-functional reviews, translating model design decisions and performance into tangible business implications for policy, product, engineering, and compliance stakeholders.


Qualifications
Required

  • MS or PhD in Computer Science, Statistics, Applied Mathematics, Operations Research, Physics, or a related quantitative discipline.
  • 4+ years of industry experience building and deploying machine learning models in production (fintech, consumer tech, security, risk, or e-commerce preferred).
  • Expert proficiency in Python and SQL, with deep experience in modern ML/DL frameworks (scikit-learn, XGBoost or equivalent gradient boosting, PyTorch or TensorFlow, pandas, NumPy).
  • Demonstrated experience with models that made real decisions in production: you have owned something that shipped, watched it degrade, and fixed it.
  • Solid foundation in statistical modeling and ML: classification, regression, clustering, anomaly detection, neural networks, and tree ensembles.
  • Experience handling severe class imbalance, delayed or noisy labels, and evaluation beyond accuracy: precision-recall trade-offs, threshold selection, cost-sensitive metrics.
  • Proficiency with large-scale data ecosystems (Spark/SparkSQL, Databricks, Hive, or equivalent) and comfort in a Linux environment.
  • Demonstrated ability to explain complex technical concepts and trade-offs to both technical and non-technical audiences, and to link model performance to customer and business outcomes.
Preferred

  • Direct experience in fraud, risk, abuse, security, anti-money-laundering, or another adversarial modeling domain.
  • Graph-based methods for entity resolution or ring detection: link analysis, belief propagation, graph neural networks, or community detection.
  • Real-time model serving, including latency-constrained feature computation and online/offline feature parity.
  • Applied LLM experience in production: classification over unstructured text, evaluation methodology, or agentic patterns such as tool calling and multi-step reasoning.
  • Familiarity with feature stores, model monitoring, and MLOps practice for models requiring frequent retraining.
  • Experience working with investigations, operations, or policy teams where model output drives human review and enforcement.


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 ). 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:
San Diego $165,500 - $223,500

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

Intuit Inc Careers

Join the dynamic team at Intuit Inc, a global powerhouse in financial software, where innovation, leadership, and diversity training are at the heart of everything we do. This is an unparalleled opportunity to advance your career with a company that is committed to empowering communities and small businesses with innovative financial solutions.

Work You’ll Do

At Intuit Inc, you’ll be part of a culture that cherishes innovation and values the unique perspectives of its team members. You will collaborate with some of the brightest minds in the industry, using your skills to influence the future of technology and finance. Our team at Intuit Inc is driven by the mission to power prosperity around the world, and you can be at the forefront of this transformation.

Explore Job Opportunities and Growth

Intuit’s career paths are as diverse as the innovative solutions we provide to millions. From finance to software engineering, our job opportunities span across multiple disciplines. Whether you’re looking for a full-time position, an internship, or leadership roles, Intuit offers a world of opportunities for professional growth. Our hiring process is designed to identify and attract professionals who are not only skilled but are also passionate about making a difference.

Professional Development and Benefits

Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

Join Our Team

Embark on a journey of growth and innovation at Intuit Inc. Search open positions that match your skills and interests. We are looking for curious, creative, and solution-driven team players. Prepare your resume, ace the interview, and join a team that’s committed to creating solutions that power prosperity around the globe.

Networking and Career Advancement

At Intuit Inc, networking and internal mobility are encouraged to foster professional growth and innovation. Connect with leaders and peers through our various networking events, mentorship programs, and collaborative projects. With support at every step of your career, the opportunities at Intuit are limitless.

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Explore Careers at Intuit Inc

Discover the exciting and rewarding career opportunities awaiting you at Intuit Inc. Let your ambition lead you to success. Join us in our mission to power prosperity and contribute to our journey of continuous innovation.

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At Intuit Inc, every role is a chance to innovate, grow, and make an impact. Join us, and together let's shape the future of finance.
Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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