Research sits at the core of everyone’s work at Borealis
Research at Borealis
Join our team of approximately 40 researchers with backgrounds across artificial intelligence including computer vision, machine learning, and natural language processing, with PhDs in computer science, physics, computational finance, mathematics and more.
Work with large-scale datasets, derive impactful machine learning models and collaborate with machine learning product owners and software engineers to help bring your research and prototypes to life – and reimagine the future of financial services.
We don’t currently have specific open roles available, but don’t let that discourage you. Apply anyway. Tell us about yourself and what you would like to do, and let’s see how we can work together.
Senior Research Engineer
“Very rarely do you get to see so many talented people from different research domains working together, whatever question you have, you can always find an in-house expert!”
Senior Research Team Lead
"What brought me to Borealis in 2017 and keeps here today is the diversity of our team on all fronts; cultural, academic, and beyond, we never stop learning from each other."
"We work towards state-of-the-art solutions for challenging financial problems. This is an opportunity to be the first who invents an AI for financial services with huge business impact."
Machine Learning Researcher
"My favourite thing about Borealis AI is that I am working with amazing people who are highly talented, smart and inspiring."
Senior Machine Learning Researcher
"I like the autonomy I have because my lead trusts me to innovate. Working with a diverse group of people in multiple domains on exciting ML problems that impact our society is great."
Reinforcement learning for order execution
RBC Capital Markets and Borealis AI have developed Aiden, RBC’s electronic execution platform. The scope for reinforcement learning in finance is huge, since there are often many rapid decisions that need to be made and these need to take into account the present condition of the market. Aiden is one of the first steps in RBC’s adoption of these technologies.
Together, we published over 50 papers in NeurIPS, ICLR, ICML, ACL, CVPR and other conferences and journals. We also do focused work in areas of AI that stand to generate value across the financial sector and beyond.