AI Expense Report Anomaly Detection Engineer

About the role

Responsibilities

• Build anomaly detection rules for duplicate and out-of-policy expense claims
• Integrate detection into the existing receipt extraction pipeline
• Reduce false positives based on direct finance team feedback
• Ship initial detection rules within the first month
• Monitor detection accuracy as new expense categories are added

Requirements

• Comfortable with Python and pandas for anomaly detection logic
• Basic scikit-learn experience for classification models
• SQL fluency for querying expense and vendor data
• Entry-level friendly, mentorship provided by senior document processing engineers

Benefits

• Fully remote position
• Health coverage from day one
• Mentorship from senior engineers on the document processing team
• Clear path to mid-level within the first year
• Small team, visible impact on every shipped feature

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