Lead ML Engineer
MachinifySalary not specified
- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
$185,000 – $315,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Data & AnalyticsIndustries
Requirements
Candidates must have a Bachelor's degree or higher in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields, 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 required, as well as prior experience in deploying Machine Learning models to production. A strong knowledge of SQL, preferably with Snowflake or BigQuery, is also necessary. Candidates should be able to thrive in a fast-paced, constantly improving startup environment focused on solving problems with iterative technical solutions.
Responsibilities
The Staff Machine Learning Engineer will lead the future of identity machine learning at Ramp by employing statistical and machine learning techniques on large datasets to discover patterns of account takeovers and identity theft. They will prototype and productionalize machine learning models and rules-based systems to protect user accounts. The engineer will partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third-party sources, ensuring comprehensive context for decision-making. Additionally, they will contribute to the culture of Ramp's machine learning team by influencing processes, tools, and systems for scalable decision-making.
Skills
Python
numpy
pandas
sklearn
pytorch
SQL
Snowflake
BigQuery
Machine Learning
Data Science
Statistical Modeling
Ramp
Corporate card and spend management platform
About Ramp
Ramp provides a corporate card and spend management platform that helps businesses track expenses and save money. The platform allows finance teams to manage corporate cards, expense reports, and bill payments in one place, and it integrates with tools like Slack for added convenience. Ramp serves a wide range of clients, from large enterprises to creative agencies, and aims to reduce overall expenses through its comprehensive financial tools. Unlike competitors such as Amex and Brex, Ramp generates revenue through interchange fees on card transactions and subscription fees for advanced features. The company's goal is to streamline financial operations for businesses and help them achieve significant cost savings.
Key Metrics
New York City, New YorkHeadquarters
2019Year Founded
$1,096.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees