Staff Machine Learning Engineer

Ramp, a rapidly growing financial operations platform, is seeking a Staff Machine Learning Engineer to lead their identity machine learning initiatives. This role combines advanced ML engineering with critical security functions, focusing on protecting user identities and preventing fraud. The position offers a competitive salary range of $185,000-$315,000 plus equity, situated in New York with a hybrid work arrangement.

The role involves building sophisticated machine learning systems to detect and prevent identity-related threats while ensuring a seamless experience for legitimate users. You'll be working with large datasets, implementing both ML models and rules-based systems, and collaborating across teams to leverage diverse data sources. The ideal candidate brings 5+ years of industry experience, strong Python programming skills, and proven expertise in deploying ML models to production.

Ramp's impressive growth trajectory is backed by top-tier investors including Thrive Capital, Sequoia Capital, and Greylock. The company has earned recognition from Fast Company, LinkedIn, Forbes, and TIME Magazine. Their platform processes over $55 billion in purchases annually, serving 30,000+ businesses from startups to large enterprises.

The position offers comprehensive benefits including full medical coverage, 401k with employer match, flexible PTO, fertility benefits, and relocation support. You'll join a team of talented professionals from leading fintech and technology companies, contributing to a product that has already helped businesses save $2B and 20M hours. This is an opportunity to make a significant impact at a company that's revolutionizing financial operations through technology.