Machine Learning Engineer

About RampRamp 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 RoleWe’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 DoEmploy statistical and machine learning techniques on large datasets to discover patterns of fraud, platform abuse, and identity theftPrototype and productionize machine learning models and rules-based systems to protect Ramp and its users from fraudPartner 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 makeContribute 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 wayWhat You NeedBachelor’s degree or above in Math, Economics, Physics, Computer Science, or other quantitative fieldsA minimum of 5 years of industry experience as a Machine Learning Engineer, Applied Scientist or Data ScientistStrong python experience (numpy, pandas, sklearn, pytorch etc.) across ML techniques and backend engineeringPrior experience deploying Machine Learning models to production and making meaningful contribution to backend systemsStrong knowledge of SQL (Snowflake, Postgres, etc.)Fluency with agentic (AI) tools for software development and data analysisAbility to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutionsNice-to-HavesPhD in Math, Economics, Physics, Computer Science, or other quantitative fieldsContext on Fraud and/or Identity Threat detection systemsExperience at a high-growth startupExperience with the modern data stack ( Snowflake / Hex / dbt / RisingWave / etc )Strong perspective on data science + ML engineering development cycle, especially in a post-AI settingExperience developing LLM-backed systems or toolsBenefits available to all full-time Ramp employees (Global)Flexible PTOCentralized home-office equipment orderingHealth and wellness stipendBudget for intra-office travelWeekly coffee stipendUnited States100% medical, dental & vision insurance coverage for you, with partial coverage for dependentsOne Medical annual membership401(k), including employer match on contributions made while employed by RampFertility HRA (up to $10,000 per year)Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% payPet insuranceIn-office perks: lunch, snacks, drinks, and moreRelocation expense coverage to NYC or SF (if needed)CanadaGroup medical, dental, and vision coverage through Sun LifeLife, AD&D, and disability coverageFertility drug coverage (up to $4,000 lifetime)Group Retirement Plan with employer match (RRSP + DPSP)Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced payEmployee Assistance Program and virtual care through Lumino HealthUnited KingdomPrivate medical insurance through Freedom EliteVirtual GP and at-home care via eMed x LiviWorkplace pension through Penfold, with salary sacrifice optionParental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced payReferral InstructionsIf you are being referred for the role, please contact that person to apply on your behalf.Other noticesPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.Ramp Applicant Privacy NoticeCompensation Range: $200K - $330KLocationNew York, NY (HQ); Remote (US)Employment TypeFull timeLocation TypeHybridDepartmentDataCompensationEstimated Base Salary $200K – $330K • Offers EquityThe final compensation will depend on the location and level at which the candidate is hired.