Sift
Sift builds a cloud-based fraud prevention and risk scoring platform for online businesses, using machine learning to stop payment fraud, account abuse, and chargebacks. The privately held company was founded in 2011 and is headquartered in San Francisco. Its software is used by brands including Hertz, Yelp, and Poshmark, and is sold as a B2B SaaS suite integrated into commerce, payments, and identity workflows.
Open Positions at Sift
3 open positions
Forward Deployed Engineer focused on helping customers detect fraud, abuse, and trust-and-safety threats through quantitative analysis, decision logic, models, and investigations. The role connects customer needs with Sift’s internal product and detection roadmap.
Sift is seeking a Machine Learning Engineer to build and operate production-scale models that detect evolving fraud in real time. The role combines model development, large-scale feature engineering, distributed systems, and low-latency model serving.
Build and operate security controls, tooling, and automation that protect Sift’s applications, infrastructure, cloud environment, and data. This senior technical role combines application and cloud security, vulnerability management, incident response, AI/LLM risk assessment, and security enablement for engineering teams.