3 machine learning engineer jobs found in Toronto

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. 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....

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role  With a strong and growing engineering hub in Toronto, our teams in Canada are essential to building exceptional financial products and supporting our mission to democratize finance for all. Robinhood is a metrics driven company and data is foundational to all key decisions from growth strategy to product optimization to our day-to-day operations. We are looking for a Software Engineer, Data Engineering to build and maintain foundational datasets that will allow us to reliably and efficiently power decision making at Robinhood. These datasets include application events, database snapshots, and the derived datasets...

As a Senior Investment Data Scientist reporting to the Head of Data Science, you'll lead the development of cutting-edge Alternative Data products that deliver quantifiable market insights to the world's most sophisticated investment funds. You will transform non-traditional data sources into innovative products that help clients outperform in competitive markets. You'll thrive in this position if you're intellectually curious, love solving complex problems with data, and enjoy bringing new ideas from concept to market in a fast-paced, collaborative environment. Key Responsibilities Lead the development of Alternative Data products from concept through implementation, leveraging financial market expertise to create measurable alpha. Perform exploratory data analysis and build statistical models to transform raw data into marketable insights. Conduct quantitative backtests and develop whitepapers that showcase product value and investment edge. Collaborate with...