Senior AI Scientist — Fraud & Risk Detection Leader

Intuit Inc.; San Diego (CA); Sur place; USD 166 000 - 224 000; Plein temps

Résumé du poste

Intuit Inc. in San Diego seeks a Senior AI Scientist to build fraud and abuse detection models end to end, from data discovery through feature engineering, deployment, and monitoring in a live environment.

You will own real-time risk scoring, entity-level and graph-based anomaly detection, and generative AI applied to catching bad actors while minimizing customer friction and operational cost.

Qualifications

• 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 ML models in production (fintech, security, risk, or e-commerce preferred).
• Expert proficiency in Python and SQL, with deep experience in ML/DL frameworks (scikit-learn, XGBoost or equivalent, PyTorch or TensorFlow, pandas, NumPy).
• Demonstrated experience shipping models in production that performed and were improved after deployment.
• Strong foundation in statistical modeling: classification, regression, clustering, anomaly detection, neural networks, tree ensembles.

Responsabilités

• Design, build, and deploy machine learning models that detect fraud and abuse across the customer lifecycle in real-time and batch settings.
• Own models end to end: data discovery, ETL, feature engineering, training, validation, productionization, monitoring, retraining.
• Develop detection approaches beyond supervised classification: entity-level anomaly detection, graph/link analysis, unsupervised clustering, behavioral modeling.
• Monitor deployed models for drift and emerging attacks; build automated retraining feedback loops.
• Apply generative and agentic AI to classify unstructured signals, explain model outputs, and automate investigation workflows.
• Design and run experiments with challenger/defender tests to determine operating thresholds and actions.
• Collaborate with Policy and Investigations to turn detection signals into enforcement actions; feedback into features and labels.
• Represent AI science in cross-functional reviews, translating model decisions into business implications.

Connaissances

Python

SQL

ML Frameworks

Feature Engineering

Formation

MS/PhD in CS/Stats/Math

Outils

PyTorch

TensorFlow

Scikit-learn

XGBoost

Spark

Databricks

Hive

Description du poste

Intuit Inc. in San Diego seeks a Senior AI Scientist to build fraud and abuse detection models end to end, from data discovery through feature engineering, deployment, and monitoring in a live environment.

You will own real-time risk scoring, entity-level and graph-based anomaly detection, and generative AI applied to catching bad actors while minimizing customer friction and operational cost.