Ramp is hiring a Senior ML Engineer — spend & fraud on the Risk team (Hybrid · New York, United States). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Ramp automates finance operations with ML on spend, fraud, and policy compliance.
ML Engineer — risk (NYC): real-time features, LLM document parsing, and analyst copilots.
What you will do
- Deliver production-grade fintech risk ML with measurable quality, latency, and cost targets.
- Build offline evals and online monitoring before scaling to full traffic.
- Collaborate with product, design, legal, or domain experts on safe rollout.
- Write clear RFCs, runbooks, and postmortems for cross-team learning.
What we look for
- Multiple shipped ML/LLM features—not coursework-only portfolios.
- Strong Python, SQL, and experimentation discipline.
- Clear communication for remote or hybrid stakeholders.
- Work authorization for the listed country.