About this role
Based in New York, NY (HQ), the Machine Learning Engineer position at Ramp involves leading fraud machine learning initiatives and building core models. This role suits experienced professionals with a strong background in production machine learning and data architecture who want to shape financial infrastructure systems.
Role Overview
Ramp is seeking a Machine Learning Engineer to direct the future of fraud machine learning. Responsibilities include building core models, designing data architectures, and establishing strategic roadmaps to mitigate fraud while ensuring a smooth user experience. The team collaborates closely across model design, execution, implementation, and analysis.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
The salary range is $200K to $330K with equity offers included. Global full-time benefits include flexible PTO, centralized home-office equipment ordering, a health and wellness stipend, intra-office travel budget, and a weekly coffee stipend. United States employees receive full medical, dental, and vision insurance coverage, an annual One Medical membership, 401(k) with employer match, a fertility HRA of up to $10,000 yearly, up to 16 weeks of paid parental leave, pet insurance, office perks, and relocation expense coverage to New York or San Francisco if necessary. Canadian, UK, and other regional benefits include local medical plans, retirement matching, and parental leave options.
About the Company
Ramp provides smart financial infrastructure embedded in the transaction flows of business spending. The organization automates financial operations for over 70,000 companies managing more than $200 billion in annualized spend by authorizing payments, categorizing expenditures, closing books, and managing risk.
How to Apply
Candidates should apply directly on the official company careers page.
Skills and tech stack
Questions candidates ask
What is the location of the Machine Learning Engineer position?
The job is located in New York, NY at the company headquarters.
What is the salary range for this role?
The salary is between $200K and $330K, along with offers for equity.
How many years of experience are required?
A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist, or Data Scientist is required.
What educational background is expected?
A Bachelor’s degree or above in Computer Science, Math, Economics, Physics, or another quantitative field is required, while a PhD is listed as a nice-to-have.
What core technical skills are needed?
Candidates need strong Python experience (numpy, pandas, sklearn, pytorch), production ML deployment experience, backend systems contribution, SQL knowledge, and fluency with agentic AI tools.