Fraud ML Engineer — Production & Risk

RAMP; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Flexible PTO

Home-office equipment ordering

Health and wellness stipend

Intra-office travel budget

Weekly coffee stipend

Job summary

Ramp is seeking a Machine Learning Engineer to lead fraud ML development, design data architectures, and set roadmaps to mitigate threats while minimizing friction for legitimate users. You will collaborate with product and engineering across model design, implementation, execution, and analysis.

You will prototype and productionize models, leverage data from multiple sources, and influence ML tooling and processes to scale decisions across Ramp.

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 that focuses on solving problems with iterative technical solutions.

Responsibilities

• 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 to protect Ramp and its users from fraud
• Partner closely with Fraud Engineering and Data Platform teams to augment and leverage data across first and third party sources, ensuring we’ve added as much context as possible to every decision we make
• Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way

Skills

Python

SQL

ML in production

Data analysis

Startup experience

Education

Bachelor’s degree or above in quantitative field

Tools

Snowflake

Pytorch

NumPy

Pandas

Sklearn

Job description

Ramp is seeking a Machine Learning Engineer to lead fraud ML development, design data architectures, and set roadmaps to mitigate threats while minimizing friction for legitimate users. You will collaborate with product and engineering across model design, implementation, execution, and analysis.

You will prototype and productionize models, leverage data from multiple sources, and influence ML tooling and processes to scale decisions across Ramp.