Ramp
More roles at RampMachine Learning Engineer
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · New York, NY (HQ)
Employer listed it 5 weeks ago · Added 5 weeks ago
Been open since 5 weeks ago, still being checked, but it has been live a while.
Salary
$200k to $330k per year
Location
Hybrid · New York, NY (HQ)
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Data
Published by the employer
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
In-office perks: lunch, snacks, drinks, and more
- Contract
Benefits available to all full-time Ramp employees (Global)
- Experience asked for
- Not mentioned in the advert
- Pay
Fertility HRA (up to $10,000 per year)
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around New York, NY (HQ), Remote (US), Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "New York, NY (HQ), Remote (US), Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “A minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data Scientist”
Questions worth asking: Nomaders interpretation
- This role involves office time, but the advert does not say how often. Ask how many days a week are expected on site.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
We’re seeking someone to lead the future of fraud machine learning at Ramp. In this role, you will help build core machine learning models, design data architectures, and set strategic roadmaps to help Ramp mitigate fraud-related threats while minimizing the friction experience by legitimate users. You will partner closely with product and engineering counterparts across model design, implementation, execution, and analysis.
What You’ll Do
Employ statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theft
Prototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraud
Partner closely with Fraud 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, Physics, Computer Science, or other quantitative fields
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 contribution to backend systems
Strong knowledge of SQL (Snowflake, Postgres, etc.)
Fluency with agentic (AI) tools for software development and data analysis
Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
Nice-to-Haves
PhD in Math, Economics, Physics, Computer Science, or other quantitative fields
Context on Fraud and/or Identity Threat detection systems
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Centralized home-office equipment ordering
- ·Health and wellness stipend
- ·Budget for intra-office travel
- ·Weekly coffee stipend
- ·100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Ramp, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1mo ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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