Software & Machine Learning Engineer
Our client is using machine learning and data science to extract context and causality from financial data and news, delivering customized insights to their users.
Founded in 2014, this Toronto-based startup believes in applications that challenge the status quo and simultaneously enhance people’s lives by eliminating the clutter and exposing the signal within the noise. Their product aggregates and integrates millions of news stories and data series, coming from different time zones and in different formats all into a single, easily navigable, inter-comparable user interface. They are using big data analysis, algorithmic and data science solutions to keep users informed and satisfy curiosity. Users get up to speed fast and feel prepared - saving them valuable time.
It’s about providing simple access to the information that matters.
In short time, with a small team, they’ve accomplished A LOT. Now, it’s time to slowly grow the team. If you’re interested in financial markets and/or big data, are the type of person who takes ownership for your own projects, and want the flexibility to implement your own ideas and help drive product direction, this might be for you.
Preferring to hire talented, adaptable polyglot software / machine learning engineers over people who necessarily focus on a specific language, they are looking for people who
•Have extensive experience working with asynchronous patterns, promises & data manipulation
•Are very strong at devising data models and backend architecture for business use cases
•Are capable of designing and implementing machine learning models
•Understand scalability and performance
Currently, Their Stack Includes