At Ripple, we’re building a world where value moves like information does today. It’s big, it’s bold, and we’re already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.
If you’re ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.
Build end-to-end machine learning-enabled solutions. Develop the liquidity engine that powers the Internet of Value. Utilize technical expertise and analysis of data and user requirements to plan, invent, design, build and deliver reliable customer-focused solutions. Determine, deliver, and build automated systems for delivering crypto liquidity instantly, efficiently, cost-effectively and in a scalable manner. Forecast supply and demand, optimize routing across traditional and digital assets and venues, and price and risk management systems. Design and implement scalable, auditable, and maintainable machine learning services. Collaborate with Ripple engineers and data scientists to build a world-class machine learning platform.
Telecommuting permitted 50% or more but less than 100% per week within same geographic location as assigned office location.
40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m.
MINIMUM REQUIREMENTS:
Must have a Master’s degree in Statistics, Physics, Data Science, Analytics, Computer Science or other related quantitative field, plus three (3) years of experience with machine learning.
Of the required experience, must have 3 years of experience in all of the following technologies:
Of the required experience, must have 3 years of experience communicating to non-technical stakeholders how machine learning models affect business outcomes, and using BI tools to visualize results in a user-friendly way.
Of the required experience, must have 3 years of experience in statistical modeling, time series analysis, supervised and unsupervised learning, and experimentation using machine learning models.
Of the required experience, must have 1 year of experience in four or more of the following:
#LI-DNI
WHO WE ARE:
Do Your Best Work
Take Control of Your Finances
Take Care of Yourself
Benefits listed above are for full-time employees.