Machine Learning Engineer
$200k - $330k • New York, NY (HQ) • FullTime
Posted 24d ago
About the job
Ramp is seeking a Machine Learning Engineer to lead the future of fraud machine learning. In this role, you will build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users. You will partner closely with product and engineering teams on model design, implementation, execution, and analysis. This is an opportunity to build systems that directly shape how companies move and manage billions.
Responsibilities
- 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.
- Contribute to the culture of Ramp’s machine learning team by influencing processes, tools, and systems for scalable decision-making.
Requirements
- Bachelor’s degree or above in Math, Economics, Physics, 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.) 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 (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.
Benefits
- Flexible PTO
- 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 (US)
- One Medical annual membership (US)
- 401(k), including employer match (US)
- Fertility HRA (up to $10,000 per year) (US)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance (US)
- In-office perks: lunch, snacks, drinks, and more (US)
- Relocation expense coverage to NYC or SF (if needed) (US)
- Group medical, dental, and vision coverage through Sun Life (Canada)
- Life, AD&D, and disability coverage (Canada)
- Fertility drug coverage (up to $4,000 lifetime) (Canada)
- Group Retirement Plan with employer match (RRSP + DPSP) (Canada)
- Employee Assistance Program and virtual care through Lumino Health (Canada)
- Private medical insurance through Freedom Elite (UK)
- Virtual GP and at-home care via eMed x Livi (UK)
- Workplace pension through Penfold, with salary sacrifice option (UK)