Senior AI Scientist

What you'll do

• Own models end to end, from data discovery and feature engineering through deployment, monitoring, retraining, and improvement.
• Develop fraud detection approaches including real-time risk scoring, anomaly detection, graph analysis, clustering, and behavioral modeling.
• Use generative and agentic AI to classify unstructured signals, explain model decisions, and automate investigation workflows.

What they ask for

• MS or PhD in a quantitative discipline such as Computer Science, Statistics, Applied Mathematics, Operations Research, or Physics.
• 4+ years of industry experience building and deploying production machine learning models.
• Expert proficiency in Python and SQL, with experience in modern ML/DL frameworks.
• Experience shipping and operating production models, plus foundations in statistical modeling, imbalanced data evaluation, and large-scale data ecosystems.

Nice to have

• Experience in fraud, risk, abuse, security, anti-money-laundering, or another adversarial modeling domain.
• Experience with graph-based methods, real-time model serving, production LLMs, feature stores, model monitoring, or MLOps.

Pay

San Diego: USD 165,500 - 223,500 base salary

Tools

Python, SQL, scikit-learn, XGBoost, PyTorch, TensorFlow, pandas, NumPy

AI focus

Applies machine learning, generative AI, and agentic AI to fraud detection, unstructured-signal classification, decision explanations, and investigation workflow automation.