1

Research Assistant Machine Learning Jobs in Ontario

Senior Machine Learning Engineer

Toronto, ON Β· On-site

CA$105K - CA$125K/yr

... assist with data-related technical issues and support their data infrastructure needs. - Create ... The role of a machine learning professional involves applying machine learning techniques and ...

The Team The Security Machine Learning Engineer will play a key role in transforming our Security ... Research & Innovation * Stay current on advancements in security data science, adversarial ML, and ...

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...

CA$140K - CA$225K/yr

Position Manifold Bio is seeking a talented Machine Learning Research Engineer to join our growing AI team. You will work closely with our research scientists to implement, scale, and optimize ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

Submit and publish work externally at top machine learning, computer vision, and robotics ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Showing results 41-60

Research Assistant Machine Learning information

See Ontario salary details

$9

$34

$89

How much do research assistant machine learning jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for research assistant machine learning in Ontario is $34.82, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $50.00 per hour, depending on experience, location, and employer.

What is a research assistant machine learning?

A Research Assistant in Machine Learning supports research projects by implementing algorithms, analyzing data, and conducting experiments to advance AI models. They assist senior researchers by preprocessing datasets, developing machine learning models, and evaluating their performance. Responsibilities may also include coding, literature reviews, and writing research papers. This role is typically found in academia, research labs, or industry R&D teams. Strong programming skills, statistical knowledge, and familiarity with ML frameworks like TensorFlow or PyTorch are essential.

What types of projects might a research assistant machine learning typically work on?

As a Research Assistant in Machine Learning, you may be involved in projects such as developing and evaluating predictive models, processing and analyzing large datasets, and assisting in the publication of research findings. Your work could contribute to applications like natural language processing, computer vision, or recommendation systems, depending on the focus of the research group. You’ll often collaborate closely with senior researchers, data scientists, or PhD students, allowing you to participate in brainstorming sessions, code development, and experimental design. This experience provides valuable exposure to cutting-edge technology and can serve as a strong foundation for a research or industry career in machine learning.

What are the key skills and qualifications needed to thrive as a research assistant machine learning?

To thrive as a Research Assistant Machine Learning, you need a solid understanding of machine learning algorithms, programming skills (especially in Python or R), and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Experience with frameworks such as TensorFlow, PyTorch, and data analysis tools, as well as familiarity with version control systems like Git, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills ensure you can contribute meaningfully to research projects, analyze complex datasets, and communicate findings effectively within interdisciplinary teams.

What are popular job titles related to Research Assistant Machine Learning jobs in Ontario?

For Research Assistant Machine Learning jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Research Assistant Machine Learning jobs in Ontario look for?

The top searched job categories for Research Assistant Machine Learning jobs in Ontario are:

What cities in Ontario are hiring for Research Assistant Machine Learning jobs?

Cities in Ontario with the most Research Assistant Machine Learning job openings:

Infographic showing various Research Assistant Machine Learning job openings in Ontario as of September 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $72,431 per year, or $34.8 per hour.

Machine Learning Software Engineer Team Lead

Toronto, ON β€’ On-site

Royal Bank of Canada
Banking and Credit IntermediationΒ β€’Β 10K+ employees

Full-time

This job post hasΒ expired 1 day ago.Β Applications are no longer accepted.


Job description

Job Description

RBC Borealis is at the forefront of artificial intelligence research and development, driving the innovative edge for the Royal Bank of Canada (RBC). Our team is dedicated to advancing the science of AI, delivering cutting-edge solutions that create substantial value for RBC and its customers. As part of RBC, you will have the opportunity to contribute to impactful projects within a leading financial institution, harnessing the power of AI to revolutionize the financial services industry.


We are looking for a Machine Learning Software Engineer Team Lead for AI Solutions. The role focuses on technical leadership with the goal of delivering products for the financial services industry. The candidate will lead a team of individual contributors, providing technical direction, day-to-day guidance and support. Ensures the team delivers high-quality solutions aligned with project and company goals.

Your responsibilities include:


Technical Leadership

  • Architect and guide development of machine learning systems, making critical technical decisions that shape project success;
  • Stay ahead of ML/AI advancements and determine their applicability to our business objectives;
  • Drive technical excellence through code reviews, design discussions, and hands-on problem-solving when challenges arise;
  • Remain hands-on with the team, occasionally contributing code and participating in delivery as needed.

Team Management

  • Lead a team of ML engineers, starting with a small group of individual contributors;
  • Break down complex ML projects into executable milestones, delegating effectively while maintaining accountability;
  • Coach and mentor team members through technical challenges, empowering them to make sound decisions independently.

You're our ideal candidate if you have:

  • A degree in Computer Science or a related technical field;
  • 7+ years of experience as a software engineer;
  • 1+ years of experience in technical leadership, you are comfortable in setting the technical strategy for your team across multiple work streams;
  • Hands on experience in Gen AI technologies and deep understanding of the Gen AI product life cycle;
  • Experience with Machine Learning systems;
  • Exceptional communication skills, bridging the gap between technical and non technical team members;
  • Experience in managing/mentoring/coaching people and enabling and empowering junior engineers.

What's in it for you?

  • Lead 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 is the driving force behind Royal Bank of Canada's AI and data innovation. As part of Canada's largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we're at the forefront of AI research and platform development. With a focus on cutting-edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data-driven solutions that will help communities thrive and drive innovation for our customers across the bank.

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.

#Ll-POST

Job Skills

Applied Machine Learning, Software Development

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:

2026-01-30

Application Deadline:

2026-10-05

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.

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.

Employment Type: FULL_TIME