Machine Learning Engineer

The role

You will lead the future of fraud machine learning by building core models and designing data architectures. You will partner with product and engineering teams to mitigate fraud-related threats.

What you will do

• Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft
• Prototype and productionize machine learning models and rules-based systems
• Partner with Fraud Engineering and Data Platform teams to leverage data across first and third party sources
• Contribute to the culture of the machine learning team by influencing processes, tools, and systems

Required qualifications

• Bachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields
• A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist
• Strong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineering
• Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems
• Strong knowledge of SQL (Snowflake, Postgres, etc.)
• Fluency with agentic (AI) tools for software development and data analysis
• Ability to thrive in a fast-paced, constantly improving, start-up environment

Nice to have

• PhD in Math, Economics, Physics, Computer Science, or other quantitative fields
• Context on Fraud and/or Identity Threat detection systems
• Experience at a high-growth startup
• Experience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc )
• Strong perspective on data science + ML engineering development cycle, especially in a post-AI setting
• Experience developing LLM-backed systems or tools

Benefits

• Flexible PTO
• Centralized home-office equipment ordering
• Health and wellness stipend
• Budget for intra-office travel
• Weekly coffee stipend
• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
• One Medical annual membership
• 401(k), including employer match on contributions made while employed at Ramp
• Fertility HRA (up to $10,000 per year)
• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
• Pet insurance
• In-office perks: lunch, snacks, drinks, and more

About the company

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. They automate how over $275B in annualized spend flows in and out of 85,000+ companies.