Research Engineer - Capital Markets

Toronto, Montreal

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Research Engineer - Capital Markets

At Borealis AI, you’ll be joining a team of leading researchers and software engineering specializing in machine learning. You will have have access to rich and massive datasets, and to computational resources to support novel product development touching machine learning areas such as reinforcement learning, natural language processing and time series analysis.

We’re looking for an enthusiastic scientists or software developer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a Research Engineer in the incubator team, you’ll be part of a collaborative group who aims to deliver AI projects end to end – everything from data pre-processing and exploration, to prototyping novel algorithmic solutions, to software implementations of machine learning-based products. The incubator’s goal is to understand the needs of our business partners and bring to life these unique and efficient solutions that can only be achieved through the use of machine learning.

With a focus on Capital markets, you will strive by digging and linking the intricacies of financial models with novel machine learning techniques. Our team performs research and product development on a wide variety of theoretical and applied machine learning projects in the space that spans domain such as forecasting, natural language processing, optimal control with reinforcement learning and synthetic data generation.
Working in capital markets will grant you unique access to work with top quantitative analysts, and the resources necessary to drive your product vision. This means you’ll also have the opportunity to innovate, and contribute to, the novel machine learning ideas that will be transformative to this line of business in the near future.

Your responsibilities include:

  • Building machine learning-based software solutions;
  • Collaborating with business stakeholders to prototype machine-learning solutions rapidly;
  • Conducting comparisons to existing algorithms and baselines;
  • Reviewing, extending, and optimizing prototype solutions;
  • Collaborating with the engineering team to integrate algorithms into products;
  • Developing reusable internal tools to facilitate research prototyping; and
  • Supporting projects with thorough documentation, design decisions, and capabilities.

You’re our ideal candidate if you have:

  • A master’s or PhD degree in computer science, mathematics, physics, economics or equivalent;
  • 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment;
  • Experience with writing modular, robust, scalable software in Python 3.x;
  • Expertise in a few of the following areas: deep learning, time series, forecasting, natural language processing, financial modelling, causality, explainability;
  • Experience or an interest in quantitative finance;
  • Experience with deep learning packages such as PyTorch, JAX, or Tensorflow;
  • Knowledge of professional software engineering best practices for the full software development life cycle, including testing methods, coding standards, code reviews, and source control management; and
  • Strong communication skills and a collaborative attitude.

What’s in it for you?

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
  • Leaders who support your development through coaching and managing opportunities;
  • Ability to make a difference and lasting impact from a local-to-global scale.

About Borealis AI

Borealis AI, a RBC Institute for Research, is a curiosity-driven research centre dedicated to achieving state-of-the-art in machine learning. Established in 2016, and with labs in Toronto, Montreal, Waterloo and Vancouver, we support academic collaborations and partner with world-class research centres in artificial intelligence. With a focus on ethical AI that will help communities thrive, our machine learning scientists perform fundamental and applied research in areas such as reinforcement learning, natural language processing, deep learning, and unsupervised learning to solve ground-breaking problems in diverse fields.

Inclusion and Equal Opportunity Employment 

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

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