Signifyd
Signifyd builds a SaaS commerce-protection platform for online retailers, using machine learning to prevent payment fraud and consumer abuse and to automate order decisions. Its products include guaranteed fraud and chargeback protection, account and payment risk assessment, and return‑abuse prevention integrated with ecommerce checkouts. Founded in 2011 and headquartered in San Jose, the privately held company serves enterprise and mid‑market merchants globally and integrates with major ecommerce platforms and payment providers.
Open Positions at Signifyd
4 open positions
Signifyd is hiring a Senior Machine Learning Engineer to build production fraud-detection models and improve its commerce protection decision engine. The role combines machine learning research, statistical experimentation, distributed data work, and close collaboration with engineering and risk intelligence teams.
Lead the technical vision and long-term strategy for Signifyd’s cloud platform, driving scalable, secure, and reliable infrastructure across multiple engineering teams. This Staff-level role combines cloud platform architecture, developer experience, AI-driven automation, and organization-wide technical leadership.
Build and own Signifyd’s scalable public-facing APIs and ingestion services that help retailers integrate with the fraud-free commerce platform. You’ll lead technical design, improve reliability, collaborate cross-functionally, and mentor engineers while working across a modern cloud-native stack.
Build and scale production machine-learning systems that power Signifyd’s fraud-detection platform. You’ll lead projects from experimentation through deployment while advancing model performance, reliability, and experimentation velocity.