Senior Machine Learning Engineer

What you'll do

• Design, train, and evaluate fraud-detection models; develop metrics, testing plans, and performance reports.
• Support production ML workflows, including feature generation, training, and monitoring, and maintain model documentation and governance.
• Communicate findings and recommendations to internal teams and customers.

What they ask for

• 8+ years as an individual contributor in Applied Fraud Research, Data Science, or Machine Learning, with a proven track record in a “Solutions” or client-facing capacity.
• Expertise with highly imbalanced datasets and production-grade machine-learning models, with specific interest in tree-based models.
• Advanced proficiency in Python and SQL; able to process data at scale, including billions of records.
• Must be local to Greater New York City.

Nice to have

• Previous experience in financial fraud detection.
• Advanced degree (Masters or PhD) in a quantitative field; experience with BI tools like Looker or modeling on graph structures is also a plus.

Pay

$159,000, to $230,000 (base salary)

Tools

Python, SQL, Looker

AI focus

Develop and operate machine-learning models for fraud detection, with emphasis on imbalanced data, tree-based models, model evaluation, and production monitoring.