Ramp

Staff Machine Learning Engineer

New York, New York, United States

$185,000 – $315,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, Data & AnalyticsIndustries

Position Overview

  • Location Type: Remote
  • Job Type: FullTime
  • Salary: $185K - $315K

Ramp is a financial operations platform designed to save businesses time and money. Combining corporate cards with expense management, bill payments, vendor management, accounting automation, and more, Ramp's all-in-one solution frees finance teams to do the best work of their lives. More than 25,000 companies, from family-owned farms to e-commerce giants to space startups, have saved $1B and 10M hours with Ramp. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment platform in America, and enables over 35 billion dollars in purchases each year.

Ramp's investors include Sequoia, Founders Fund, Thrive Capital, Khosla Ventures, Greylock, Stripe, Goldman Sachs, Coatue, and Redpoint, as well as over 100 angel investors who were founders or executives of leading companies. The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.

This role focuses on leading the future of identity machine learning at Ramp. The goal is to reduce Identity-related threats while providing a frictionless experience for every legitimate Ramp user.

Requirements

  • Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • 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.).
  • Strong knowledge of SQL (preferably Snowflake, BigQuery).

Responsibilities

  • Employ statistical and machine learning on large datasets to discover patterns of account takeovers and identity theft.
  • Prototype and productionalize machine learning models and rules-based systems to protect user accounts.
  • Partner closely with Identity Engineering and Data Platform teams to augment and leverage data across first and third party sources.
  • Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems.

Application Instructions

  • (No specific application instructions provided in the job description.)

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.

New York City, New YorkHeadquarters
2019Year Founded
$1,096.3MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees

Benefits

Competitive salaries: You never have to wonder how your pay compares. Our generous comp reflects our belief that you’ll take Ramp to the next level.
Comprehensive health plans: US-based employees get full medical, dental, and vision insurance coverage. Everyone gets a monthly stipend for personal wellness.
Professional development: Take advantage of our annual education stipends to stay on top of your personal growth.
Unlimited PTO: Flexible vacation days give you the time to step away, unwind, and recharge.

Risks

Increased competition from fintech startups could challenge Ramp's market position.
Economic downturns may reduce business spending, affecting Ramp's revenue streams.
The volatile travel industry poses risks to Ramp's new travel booking services.

Differentiation

Ramp integrates with popular tools like Slack and Workday for seamless financial operations.
The platform offers advanced accounting automations, reducing manual work for finance teams.
Ramp's use of stablecoins and modern financial instruments sets it apart from competitors.

Upsides

Ramp's integration with Workday enhances real-time data syncing and accounting automation.
The partnership with Priceline expands Ramp's services into the growing business travel sector.
Ramp's recent $750 million funding boosts its capacity for innovation and market expansion.

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