Latest ML Engineering jobs at Variance

Build and deploy production-grade AI agents for high-stakes fraud, risk, compliance, and AML decisions at enterprise customers. Own the full agent lifecycle from scoping and tool engineering through evals, tuning, and platform impact. Requires strong LLM experience, software engineering fundamentals, and customer-facing skills.

Build benchmarks, datasets, and evaluation systems to measure and improve AI model quality for fraud, identity, and risk judgment tasks. Collaborate across research, engineering, and product to drive rigorous experimentation and iteration in high-stakes environments.

Research Engineer designs evaluations, studies model failures, and builds research loops to improve AI agents for high-stakes fraud detection and judgment tasks. Requires ML training experience, experimental rigor, and strong engineering skills in adversarial environments.