Machine Learning Engineer
rampBrooklyn, NY
Machine Learning Engineer
L6
rampBrooklyn, NYtoday
Overview:
As a Senior Applied Scientist at Ramp, you design, build, and optimize credit risk models that power scalable decisioning across portfolios. You will own the applied science lifecycle—from data exploration to deployment and monitoring—while collaborating with product, data, and engineering partners. Expect to tackle data-dense, high-stakes problems at scale, incorporating ML, causal inference, and economics. This role offers a chance to shape Ramp’s credit risk capabilities in a fast-moving, impact-driven environment. Compensation / Benefits Flexible PTO Unlimited AI token usage Centralized home-office equipment ordering Health and wellness stipend Budget for intra-office travel Weekly coffee stipend
Responsibilities:
Design, build, and optimize machine learning models for credit risk decisioning and portfolio management Own the full applied science development lifecycle: data exploration, feature development, prototyping, deployment, monitoring, iteration Explore and integrate new data sources (structured and unstructured) into credit models Develop backtesting, validation, and monitoring frameworks to assess performance and business impact Apply ML, statistics, causal inference, optimization, and economics to business problems Generate data-driven insights to influence product, risk, and company strategy Partner with product, business, engineering, and data stakeholders to translate ambiguous problems into actionable roadmaps Contribute to best practices for model development, experimentation, testing, and production reliability
Key requirements:
Bachelor’s degree or above in quantitative fields or equivalent experience (5+ years in related roles; or 3+ years with PhD) Strong fundamentals in statistics, ML, optimization, or economics Experience with large datasets using Python and SQL Proficiency in Python for EDA, predictive modeling, and ML (NumPy, pandas, scikit-learn, PyTorch) Strong communication skills to translate methodology into business narratives Track record of shipping ML products in production and at scale Thrives in a fast-paced startup environment with iterative problem solving strong communication collaboration across functions data storytelling Python SQL NumPy
Apply now (opens in a new tab)
Level
LeadL6
Location
Brooklyn, NY
Occupation
Data Scientists
Industry
Custom Computer Programming Services
Posted
today
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