1

Software Engineer Research Assistant Jobs in Ontario

Software Engineer

Maple, ON · On-site +1

CA$125K - CA$208K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

Software Engineer

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

Software Engineer

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

Software Engineer

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

Software Engineer

Brampton, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

CA$30.54/hr

Familiarity with PFC modelling and with the use of the Ovito software. * BSc or MSc in Physics ... McGill University is an English-language university where most teaching and research activities are ...

New

Software Engineer

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Software Engineer Department: Commercial Marketer and Web Accelerator Engineering Location: Toronto ... Designs and delivers software solutions that accelerate research workflows and enhance data ...

CA$30.54/hr

Familiarity with PFC modelling and with the use of the Ovito software. * BSc or MSc in Physics ... McGill University is an English-language university where most teaching and research activities are ...

... R&D initiatives into a live, scaled operational platform that will have an impact across the ... About the Role We are looking for a versatile Software Engineer to join our platform team, working ...

... R&D initiatives into a live, scaled operational platform that will have an impact across the ... About the Role We are looking for a versatile Software Engineer to join our platform team, working ...

Mechanical Engineer, R&D Team: R&D/New Product Development Work Type: Full Time Location: Oakville ... Proficient in the use of 3D CAD design software (preferably SolidWorks and/or Inventor)

Job Requisition ID # 26WD98709 Senior Software Engineer - Machine Learning Fusion - Collaborative ... We are a small, agile applied research team that are intensely curious and passionate about the ...

We build cutting-edge software and industry standards to help researchers and clinicians analyze ... We're a nimble, cross-functional team of scientists, engineers, designers, and product thinkers ...

Write unit tests and help improve test coverage and overall code quality * Assist in debugging and ... Bachelor's degree in Computer Science, Software Engineering, or a related field, OR equivalent ...

Showing results 21-40

Software Engineer Research Assistant information

What does a software engineer research assistant do?

A Software Engineer Research Assistant supports research projects by developing, testing, and maintaining software tools and applications. They often collaborate with researchers and engineers to implement experimental algorithms, analyze data, and document findings. The role may involve coding, debugging, and adapting software to meet the needs of specific research objectives. Additionally, they help ensure that research code is efficient, reproducible, and well-documented for future use.

What skills and qualifications are needed to thrive as a software engineer research assistant?

To thrive as a Software Engineer Research Assistant, you need a solid background in computer science fundamentals, programming languages such as Python or Java, and a related degree or ongoing coursework. Familiarity with version control systems like Git, data analysis libraries, and research tools such as MATLAB or TensorFlow is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with research teams and convey technical findings clearly. These competencies are crucial for contributing to innovative research projects, ensuring reliable results, and supporting the advancement of technology.

How does a software engineer research assistant typically collaborate with engineering and research teams?

Software Engineer Research Assistants often serve as a bridge between software development and research teams, translating research concepts into functional prototypes or tools. They regularly participate in joint meetings, contribute to code reviews, and align their tasks with the goals of both groups. Effective communication skills are essential, as they need to understand academic research requirements while adhering to engineering best practices. This collaborative environment offers exposure to cutting-edge technology and the opportunity to contribute to innovative projects.

What are popular job titles related to Software Engineer Research Assistant jobs in Ontario?

For Software Engineer Research Assistant jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Software Engineer Research Assistant jobs in Ontario look for?

The top searched job categories for Software Engineer Research Assistant jobs in Ontario are:

What cities in Ontario are hiring for Software Engineer Research Assistant jobs?

Cities in Ontario with the most Software Engineer Research Assistant job openings:

Infographic showing various Software Engineer Research Assistant job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Machine Learning Software Engineer

Royal Bank of Canada

Toronto, ON • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Description


What's the opportunity?

RBC Borealis is looking for an enthusiastic software developer who's excited by the opportunity of working on challenging problems at the intersection of machine learning and the financial services industry. As a Machine Learning Software Engineer, you'll be responsible for owning and delivering a project end to end - everything from data pre-processing and exploration, to building and scaling ML algorithms and pipelines, to deployment and monitoring of production systems. At RBC Borealis, you'll be joining a team that works directly with leading researchers in machine learning, has access to rich and massive datasets, and offers the computational resources to support cutting-edge machine learning R&D.

Your responsibilities include:

  • To build cutting edge ML solutions throughout the research and product development lifecycle;

  • To play a key role in the design and development of Borealis' machine learning products;

  • To partner with RBC Borealis's research and product teams to ensure the seamless delivery of these products;

  • To apply engineering and data best practices to build robust and scalable large-scale machine learning software systems;

  • To support projects with thorough documentation, design decisions, and technical advisory.

You're our ideal candidate if you have:

  • Experience building modular and robust software systems in Python or similar language;

  • 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;

  • Experience working across the entire ML research and product lifecycle from prototyping to production is a plus;

  • Experience building microservices, data pipelines and using relational and non-relational databases is a plus;

  • Experience working with data science tooling and deep learning frameworks is a plus;

  • Experience with DevOps engineering (CI/CD pipelines, observability, containers etc) is a plus.

What's in it for you?

  • Be part of a dynamic & flexible working environment;

  • Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;

  • 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 the AI Group

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery - ensuring RBC remains at the frontier of AI-enabled value creation.

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.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

#Ll-POST

#TechPJ

Job Skills

Big Data Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

Address:

777 BAY ST, TH 27:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

HUMAN RESOURCES & BMCC

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-27

Application Deadline:

2026-09-30

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.

Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Employment Type: FULL_TIME