ML Engineer

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ApprovalMax

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

☁️ SaaS

💸 Finance

🤝 B2B

💰 $12.9M Private Equity Round - ApprovalMax on 2024-11

SaaS • Finance • B2B

ApprovalMax is a cloud-based SaaS platform that automates accounts payable and receivable approval workflows for finance teams, accountants, and bookkeepers. It integrates with major accounting systems (Xero, QuickBooks Online, NetSuite, Oracle) and offers features such as approval routing, automated data capture, audit trails, fraud controls, multi-entity support, and an integrated payments option (ApprovalMax Pay). The product is focused on improving financial controls, compliance, and operational efficiency for businesses and accounting practices.

📋 Description

• Investigate why documents fail at population scale • Own and evolve the accuracy measurement framework • Design fixes for pipeline logic errors • Collaborate with AI team on model architecture and ML best practices • Build an embedding-based entity matching service and an OCR correction layer • Set up ML pipeline orchestration and MLOps practices

🎯 Requirements

• 3+ years of experience in ML engineering or forensic data investigation • Strong SQL (PostgreSQL, complex analytical queries) and Python (pandas, NumPy, scikit-learn) skills • Hands-on experience with structured document processing, OCR output correction • Understanding of how OCR engines work • Ability to work collaboratively with cross-functional teams • Comfortable reading and tracing C# / .NET code • Nice to have: Financial document or accounting domain knowledge, experience with managed OCR services, experience building LLM-as-judge or LLM-as-corrector evaluation systems

🏖️ Benefits

• 26 days of paid time off • Remote office assistance • Service-years recognition financial reward