Machine Learning Research Engineer

ODAIA

Toronto

On-site

CAD 110,000 - 170,000

Full time

5 days ago

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Benefits offered by this job

Flexible benefits

Stock options where applicable

Job summary

RBC Borealis, an RBC Institute for Research, is a curiosity-driven centre focused on state-of-the-art machine learning. Based in Canada, it supports collaborations across multiple labs and aims to advance ML research into real-world products.

We seek a Machine Learning Research Engineer to join the applied research team, delivering AI projects end-to-end—from data prep to prototyping and software implementation—driven by business needs and scalable ML solutions.

Qualifications

Master’s or PhD in CS, math, physics, economics or equivalent.
2+ years of applied ML experience in high-responsibility environments.
Experience writing modular, robust Python 3.x software.
Expertise in deep learning, NLP or information retrieval.

Responsibilities

Build ML-based software solutions.
Collaborate with stakeholders to prototype ML solutions rapidly.
Conduct comparisons to existing algorithms and baselines.
Review, extend, and optimize prototype solutions.
Integrate algorithms into products with the engineering team.
Develop reusable internal tools for prototyping.
Provide thorough documentation and design decisions.

Skills

Analytical Thinking

Decision Making

Detail-Oriented

Long Term Planning

Machine Learning (ML)

Product Development Design

Programming Languages

Quantitative Research

Research and Development Operations

Research Documents

Education

Master's or PhD in computer science, mathematics, physics, economics or equivalent

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 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;
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, 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.

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 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.

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Job Skills