Description:

Ramp is a financial operations platform that combines corporate cards with expense management, bill payments, vendor management, and accounting automation to save businesses time and money.
The company has helped over 25,000 businesses save $1 billion and 10 million hours since its founding in 2019.
Ramp is seeking a Staff Machine Learning Engineer to lead the future of identity machine learning, focusing on reducing identity-related threats.
The role involves building core machine learning models, designing data architectures, and setting strategic roadmaps.
Responsibilities include employing statistical and machine learning techniques on large datasets, prototyping and productionalizing machine learning models, and collaborating with Identity Engineering and Data Platform teams.
The goal is to provide a frictionless experience for every legitimate Ramp user.

Requirements:

A Bachelor’s degree or higher in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields is required, along with a minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist, or Data Scientist.
Strong experience in Python, including libraries such as numpy, pandas, sklearn, and pytorch, is essential, along with expertise in machine learning techniques and backend engineering.
Candidates must have prior experience deploying machine learning models to production and contributing to backend systems.
A strong knowledge of SQL, preferably with Snowflake or BigQuery, is required.
The ability to thrive in a fast-paced, constantly improving startup environment focused on iterative technical solutions is necessary.

Ramp offers 100% medical, dental, and vision insurance coverage for employees, with partial coverage for dependents and an annual One Medical membership.
Employees can participate in a 401k plan with employer matching on contributions made while employed by Ramp.
The company provides flexible PTO, a fertility HRA of up to $5,000 per year, and a WFH stipend to support home office needs.
Additional benefits include a wellness stipend, parental leave, relocation support to NYC or SF, and pet insurance.