200K–330K USD / year
Machine Learning Engineer
Machine learningHybrid — New York, NY
Published on 2026-09-23
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About this role
Ramp is seeking a Machine Learning Engineer to lead fraud detection initiatives. The role involves building machine learning models to mitigate fraud while ensuring a smooth user experience and collaborating closely with product and engineering teams.
About the company
Ramp is a financial automation platform that provides companies with tools to manage expenses, optimize procurement, and improve financial workflows. It serves businesses looking to streamline their financial processes and enhance visibility into spending.
What you'll do
- Employ machine learning techniques on large datasets to discover fraud patterns
- Prototype and productionize ML models and rules-based systems
- Collaborate with Fraud Engineering and Data Platform teams
- Influence processes and systems for better decision-making
What we're looking for
- Bachelor’s degree or above in a quantitative field
- Minimum 5 years of experience in ML or data science
- Strong Python and backend engineering skills
- Experience deploying ML models in production
- Proficient in SQL and data analytics tools
Nice to have
- PhD in a quantitative field
- Context on fraud detection systems
- Experience in high-growth startups
- Familiarity with modern data stacks
- Experience with LLM-backed systems
Benefits
- Flexible PTO
- Health and wellness stipend
- Parental leave (up to 16 weeks at 100% pay)
- Pet insurance