Staff Machine Learning Engineer

15 hours ago

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

💵 $185k - $315k / year

⏰ Full Time

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

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Ramp

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Ramp is a company that offers an all-in-one platform designed to streamline financial operations for businesses. It provides easy-to-use corporate cards, expense management, accounts payable automation, and procurement solutions that reduce manual processes and integrate seamlessly with existing accounting systems. With a focus on saving time and money, Ramp uses automation and smart spend controls to simplify expenses, travel booking, and audit-proof accounting. Supporting multiple currencies and offering extensive integrations, Ramp caters to startups, small businesses, mid-market, and enterprises looking to consolidate their finance stack and improve efficiency across their financial operations.

Corporate Cards • Business Cards • Spend Management • Finance Automation • Expense Management

501 - 1000 employees

Founded 2019

💳 Fintech

💸 Finance

🏢 Enterprise

💰 $15M Series C on 2012-09

📋 Description

We’re seeking someone to lead the future of identity machine learning at Ramp. In this role, you will help build core machine learning, design data architectures, and set strategic roadmaps to help Ramp reduce Identity-related threats. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis. Our goal is to provide a frictionless experience for every legitimate Ramp user.•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, 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

🎯 Requirements

Bachelor’s degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields with 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 back end engineering•Prior experience deploying Machine Learning models to production and making meaningful contribution to backend systems•Strong knowledge of SQL (preferably Snowflake, BigQuery)•Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions•Context on Fraud and/or Identity Threat detection systems•Experience at a high-growth startup•Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Census or equivalents)•Strong perspective on data science engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)

🏖️ Benefits

100% medical, dental & vision insurance coverage for you•Partially covered for your dependents•One Medical annual membership•401k (including employer match on contributions made while employed by Ramp)•Flexible PTO•Fertility HRA (up to $5,000 per year)•WFH stipend to support your home office needs•Wellness stipend•Parental Leave•Relocation support to NYC or SF•Pet insurance