Description
We are seeking a Machine Learning Engineer to lead the future of fraud machine learning at Ramp.
You will help build core machine learning models, design data architectures, and set strategic roadmaps to mitigate fraud-related threats while minimizing friction for legitimate users.
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 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 better decision-making
Requirements:
- Bachelor's degree or above in Math, Economics, Physics, Computer Science, or other quantitative fields
- Minimum 5 years of industry experience as a Machine Learning Engineer, Applied Scientist, or Data Scientist
- Strong Python experience with ML techniques and backend engineering
- Prior experience deploying Machine Learning models to production and contributing to backend systems
- Strong knowledge of SQL (Snowflake, Postgres, etc.)
- Fluency with 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
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more