Kaylus is a pre-launch CPG rebate and shopper rewards platform. They are seeking an OCR & Receipt Intelligence Engineer to own the end-to-end receipt intelligence process, ensuring accurate understanding and processing of receipts for their platform.
Responsibilities:
- The full receipt understanding pipeline: image capture and preprocessing, text detection, token labeling, line-item extraction, and structured output that downstream systems can trust
- Product resolution. Mapping messy, abbreviated, retailer-specific line items (the "GV WHL MLK GAL" problem) to canonical products via UPC, DPCI, and other retailer identifiers against a growing catalog
- Offer and rebate matching. Connecting resolved line items to live offers so a qualifying purchase is recognized instantly and reliably, with the edge cases (multi-buy, threshold, brand-vs-variant, size and count) handled correctly
- Arithmetic reconciliation. Building the logic that validates a receipt against itself: line items, discounts, tax, and totals that have to add up before we pay a cent
- Fraud and abuse defense. Detecting duplicated, altered, AI-generated, and fabricated receipts before they cost us money
- Build-versus-buy strategy. We have evaluated vendors like BlinkReceipt and Veryfi. You will own the ongoing call on where we lean on third parties, where we build proprietary, and how we move from one to the other as we scale
- The evaluation harness: the datasets, benchmarks, and accuracy metrics that tell us honestly how good we are and where we are losing