Staff Machine Learning Engineer New York

Ramp; New York (NY); On-site; USD 185,000 - 315,000; Full time

Job summary

An innovative financial operations platform is seeking a Machine Learning Engineer to lead the future of identity ML. In this pivotal role, you will develop and implement machine learning models to combat identity-related threats, ensuring a seamless experience for users. Collaborating with product and engineering teams, you'll utilize statistical analysis on large datasets to identify patterns of fraud. This is a fantastic opportunity to contribute to a rapidly growing startup that values creativity and problem-solving. Join a dynamic team and help shape the future of financial security while enjoying comprehensive benefits and a flexible work environment.

Benefits

100% medical, dental & vision insurance

401k with employer match

Flexible PTO

Fertility HRA up to $5,000

WFH stipend

Wellness stipend

Parental Leave

Relocation support

Pet insurance

Qualifications

• 5+ years experience as a Machine Learning Engineer or Data Scientist.
• Strong Python skills and knowledge of SQL required.

Responsibilities

• Employ machine learning on large datasets to identify account takeovers.
• Prototype and productionalize ML models to protect user accounts.

Skills

Python

Machine Learning

Statistical Analysis

SQL

Data Architecture

Education

Bachelor’s degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science

Tools

numpy

pandas

sklearn

pytorch

Snowflake

BigQuery

Job description

About Ramp

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 30,000 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.

Ramp has been named to Fast Company's Most Innovative Companies list and LinkedIn's Top U.S. Startups for over 3 years, as well as the Forbes Cloud 100, CNBC Disruptor 50, and TIME Magazine's 100 Most Influential Companies.

About the Role

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.

What You’ll Do

• 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.

What You Need

• 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 backend engineering.

• Prior experience deploying Machine Learning models to production and making meaningful contributions to backend systems.

• Strong knowledge of SQL (preferably Snowflake, BigQuery).

• Ability to thrive in a fast-paced, constantly improving, startup environment that focuses on solving problems with iterative technical solutions.

Nice-to-Haves

• 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).

Compensation

• For candidates located in NYC or SF, the pay range for this role is $185,000 - $315,000. The final compensation will depend on the level at which the candidate is hired, as we are considering candidates for multiple levels of this role.

Benefits (for U.S.-based full-time employees)

• 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.

Other Notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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