Research Engineer

RBC; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading financial institution in Toronto is seeking a Machine Learning Research Engineer to join a collaborative team. This role involves developing machine learning software solutions, collaborating with business stakeholders, and applying cutting-edge research in AI to solve complex problems. The ideal candidate has a Master's or PhD in a relevant field and 2+ years of machine learning experience. The position offers competitive compensation, a comprehensive rewards program, and opportunities for impactful work in AI.

Benefits

Competitive compensation

Flexible benefits

Bonuses

Stock options

Qualifications

• 2+ years of applied machine learning experience in a high-responsibility, minimal-supervision environment.
• Experience writing modular, robust, scalable Python software.
• Knowledge of professional software engineering best practices.

Responsibilities

• Building machine learning-based software solutions.
• Collaborating with business stakeholders to prototype machine-learning solutions rapidly.
• Conducting comparisons to existing algorithms.

Skills

Applied machine learning experience

Software development in Python 3.x

Deep learning

Natural language processing

Strong communication skills

Collaborative attitude

Education

Master's or PhD in Computer Science, Mathematics, Physics, Economics

Tools

PyTorch

JAX

TensorFlow

Job description

Job Description

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

We’re looking for an enthusiastic Machine Learning Research Engineer who’s excited by the opportunity of being at the forefront of applying machine learning technology to challenging problems. As a ML Research Engineer in the applied research 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 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.

Your responsibilities

• 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;
• Supporting projects with thorough documentation, design decisions, and capabilities.

Ideal candidate qualifications

• 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, natural language processing, information retrieval;
• 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;
• Strong communication skills and a collaborative attitude.

Benefits

• 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 RBC Borealis

RBC Borealis, an 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.