This role is open to candidates located in Toronto.

Ripple is the world’s only enterprise blockchain solution for global payments. Today the world sends more than $155 trillion across borders. Yet, the underlying infrastructure is dated and flawed. Ripple connects banks, payment providers, corporates and digital asset exchanges via RippleNet to provide one frictionless experience to send money globally.

THE WORK:

We’re looking for Interns to help the Liquidity Engineering Team design and build machine learning tooling - including data and training pipelines, performance monitoring functionality, cloud stack optimizations, and other solutions -  that will allow us to deliver models that will power our growing network and improve the global payments infrastructure. During this internship, you and your paired mentor will tackle technical challenges and projects in one of the following areas:

WHAT YOU’LL BRING:

• A degree in CS, EE or related technical experience
• Experience building Machine Learning applications or other Data Science tooling with a strong interest in Machine Learning & related infrastructure; experience with time series analysis and high-frequency event data like financial markets tick data a huge plus
• Our stack sits on modern cloud ML architecture and primarily uses Python and SQL. We don’t discriminate by language or ML Framework but you could have built ML projects using a combination of Python, Scala, Java, Spark, or SQL; and have used frameworks like scikit-learn, Tensorflow, Torch, or Keras
• Interests: entrepreneurship, economics and financial markets, strong work ethic, creative thinking, systems thinking, cryptography, creative logic, fast-paced environment

WHAT WE OFFER:

• Regionally competitive pay and a one-time cash stipend 
• Exposure to the crypto-currency and digital asset space!
• A hands-on learning environment where you can dive into the latest technologies and engineering principles
• Fully-stocked kitchen with organic snacks, beverages & coffee drinks 
• Catered lunches in office 2x week
• Team outings to sports games, happy hours, game nights and more
• A collaborative work environment with deeply experienced cryptographers, security experts, Silicon Valley and Wall Street veterans
• The opportunity to help change the way the world transacts