Staff Machine Learning Engineer
Description For Staff Machine Learning Engineer
Ramp, a leading financial operations platform, is seeking a Staff Machine Learning Engineer to spearhead their identity machine learning initiatives. This role combines cutting-edge ML technology with practical financial security applications, focusing on reducing identity-related threats while maintaining a seamless user experience.
The position offers an opportunity to work with a rapidly growing company that has been recognized by Fast Company, LinkedIn, Forbes, CNBC, and TIME Magazine for its innovative approach to financial technology. Ramp's platform, which processes over $35 billion in purchases annually, serves more than 25,000 companies ranging from small businesses to major corporations.
As a Staff Machine Learning Engineer, you'll be at the forefront of developing sophisticated ML models and data architectures to combat identity theft and account takeovers. The role requires expertise in Python, SQL, and various ML frameworks, with a focus on both theoretical understanding and practical implementation. You'll work closely with Identity Engineering and Data Platform teams, contributing to both technical solutions and strategic planning.
The company offers a competitive compensation package ranging from $185,000 to $315,000, plus equity, comprehensive benefits, and the flexibility of remote work. Ramp's team includes talented professionals from leading financial services companies and major tech firms, providing an environment rich in expertise and opportunities for professional growth.
This role is perfect for an experienced ML engineer who wants to make a significant impact in the fintech space while working with cutting-edge technology and large-scale data systems. The position offers the excitement of a startup environment combined with the resources and reach of a well-funded, rapidly growing company.
Responsibilities For Staff Machine Learning Engineer
- 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 with Identity 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
Requirements For Staff Machine Learning Engineer
- Bachelor's degree or above in Math, Economics, Bioinformatics, Statistics, Engineering, 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 back end engineering
- Prior experience deploying Machine Learning models to production
- Strong knowledge of SQL (preferably Snowflake, BigQuery)
- Ability to thrive in a fast-paced, constantly improving, start-up environment
Benefits For Staff Machine Learning Engineer
- 100% medical, dental & vision insurance coverage for employee
- Partially covered insurance for dependents
- One Medical annual membership
- 401k with employer match
- Flexible PTO
- Fertility HRA (up to $5,000 per year)
- WFH stipend
- Wellness stipend
- Parental Leave
- Relocation support to NYC or SF
- Pet insurance
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