Staff Machine Learning Engineer - Remote

Overview

We’re seeking someone to lead the future of identity machine learning at Ramp. In this role, you will help build core machine learning, design data architectures, and set strategic roadmaps to help Ramp reduce Identity-related threats.

In Short

• Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft
• Prototype and productionalize machine learning models and rules-based systems to protect user accounts
• Partner closely with Identity Engineering and Data Platform teams
• Contribute to the culture of Ramp’s machine learning team
• Strong python experience across ML techniques and back end engineering
• Prior experience deploying Machine Learning models to production
• Strong knowledge of SQL
• Ability to thrive in a fast-paced startup environment
• Context on Fraud and/or Identity Threat detection systems is a plus
• Experience with the modern data stack is a plus

Requirements

• Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields
• Minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
• Strong python experience (numpy, pandas, sklearn, pytorch)
• Prior experience deploying Machine Learning models to production
• Strong knowledge of SQL (preferably Snowflake, BigQuery)
• Ability to thrive in a fast-paced startup environment

Benefits

• 100% medical, dental & vision insurance coverage
• 401k with employer match
• Flexible PTO
• Fertility HRA
• WFH stipend
• Wellness stipend
• Parental Leave
• Relocation support to NYC or SF
• Pet insurance