Senior Machine Learning Research Engineer

ODAIA; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading research center in machine learning in Toronto is seeking a Senior Machine Learning Research Engineer to lead the development of innovative software solutions. The role involves collaboration with business stakeholders to create machine learning applications impacting diverse fields. Ideal candidates have a Master's or PhD with over 5 years of applied experience in machine learning and Python development. This position offers a competitive compensation package and the opportunity to make a significant impact in the field.

Benefits

Comprehensive Total Rewards Program

Leadership support for development

Opportunity to make a difference

Qualifications

• 5+ years of applied machine learning experience as an individual contributor driving projects.
• Experience with writing modular, robust, scalable software in Python.
• Expertise in areas like deep learning, natural language processing, and information retrieval.

Responsibilities

• Lead development of machine learning-based software solutions.
• Collaborate with business stakeholders to prototype machine-learning solutions rapidly.
• Support projects with thorough documentation and design decisions.

Skills

Analytical Thinking

Decision Making

Detail-Oriented

Machine Learning

Quantitative Research

Education

Master’s or PhD degree in computer science, mathematics, physics, or equivalent

Tools

Python 3.x

PyTorch

JAX

Tensorflow

Job description

Job Description

What's the opportunity?

At RBC Borealis, you’ll be joining a team of leading researchers and software engineers 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 Senior 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 Senior 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:

• Lead development of 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;
• 5+ years of applied machine learning experience as an individual contributor driving projects;
• 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.

Job Skills

Analytical Thinking, Decision Making, Detail‑Oriented, Long Term Planning, Machine Learning, Product Development Design, Programming Languages, Quantitative Research, Research and Development Operations, Research Documents

Additional Job Details

Address: 777 BAY ST, TH 27:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-11-27

Application Deadline: 2026-02-23

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

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