Toast
AI / ML EngineerAppliedAug 6, 2026

Clear legitimate digital orders without excess holds

Risk controls tend to become most visible when they slow down legitimate demand.

Teams must protect merchants from loss while avoiding friction that changes whether an order is completed.

When an order sits in review, the guest thinks we ignored them—not that a payment check happened.

Sigrid Laine · Owner-Operator

Runs three quick-service locations where digital orders peak during the lunch rush.

What pulls against what

  • fraud loss vs. legitimate conversion
  • early proxies vs. confirmed outcomes
  • review consistency vs. fast release
  • global signals vs. restaurant context

What is at stake

Fewer legitimate guests wait for release, while merchants retain protection against card-not-present loss

Why Toast

At Toast, this can matter because digital ordering depends on both trusted payments and timely restaurant fulfillment.

Written for

Applied ML engineerRisk-modeling practitionerExperiment-oriented engineer

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