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Description:
- Lead the future of fraud machine learning at Ramp by building core models and designing data architectures.
- Collaborate with product and engineering teams to mitigate fraud threats while minimizing user friction.
Requirements:
- Bachelor’s degree in Math, Economics, Physics, Computer Science, or related field.
- Minimum 5 years of experience as a Machine Learning Engineer, Applied Scientist, or Data Scientist.
- Strong Python skills (numpy, pandas, sklearn, pytorch) and backend engineering experience.
- Experience deploying ML models to production and contributing to backend systems.
- Proficient in SQL (Snowflake, Postgres).
- Ability to thrive in a fast-paced startup environment.
Benefits:
- Flexible PTO and health/wellness stipend.
- 100% medical, dental & vision insurance for employees in the US.
- 401(k) with employer match and fertility HRA.
- Parental leave of up to 16 weeks at 100% pay.
- Group medical and retirement plans for Canada, and private medical insurance for the UK.
Job title
Job type
Experience level
Required experience
5 years
Salary
$200,000—$330,000 / year
Degree requirement
Degree requiredSkills
Location requirements
Canada
United Kingdom
United States
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