R
AI

Applied Scientist

Ripple · San Francisco, CA, United States · $176k - $179k

Actively hiring Posted about 2 years ago

Role overview

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.

What you'll work on

  • SQL;
  • Using common Python ML tools including Pandas, Scikit Learn, Numpy, and/or Tensorflow; and
  • BI tooling using Tableau, Excel, PowerBI, and/or Looker.

What we're looking for

  • Cloud computing platforms (AWS, GCP, or Azure);
  • Text mining or natural language processing;
  • Anomaly detection;
  • Agile development practices;
  • Docker; and
  • Deploying client-facing analytics applications.

Tags & focus areas

Used for matching and alerts on DevFound
Scientist Aws Crypto Docker Gcp Tensorflow Python R Azure Pandas