Machine Learning Engineer

Description: Lead the future of fraud machine learning at Ramp by building core models and designing data architectures. Collaborate with product and engineering teams to mitigate fraud threats while minimizing user friction. Requirements: Bachelor’s degree in Math, Economics, Physics, Computer Science, or related field. Minimum 5 years of experience as a Machine Learning Engineer, Applied Scientist, or Data Scientist. Strong Python skills (numpy, pandas, sklearn, pytorch) and backend engineering experience. Experience deploying ML models to production and contributing to backend systems. Proficient in SQL (Snowflake, Postgres). Ability to thrive in a fast-paced startup environment. Benefits: Flexible PTO and health/wellness stipend. 100% medical, dental & vision insurance for employees in the US. 401(k) with employer match and fertility HRA. Parental leave of up to 16 weeks at 100% pay. Group medical and retirement plans for Canada, and private medical insurance for the UK.