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Research Assistant Machine Learning Jobs in Ontario

Td

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial ...

Quincus

Machine Learning Engineer

Toronto, ON

Quincus Research is building the next generation of intelligent systems for all Quincus products ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Research and development on cutting-edge machine learning technologies. Qualifications and Skills: * Graduate degree in Computer Science with a strong background in machine learning required.

Td

Research Machine Learning Scientist II

Toronto, ON

CA$140K - CA$190K/yr

Day-to-day as a Research Machine Learning Scientist: * * Join a world-class team of machine learning researchers with an extensive track record in both academia and industry. * Research, develop, and ...

New

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

We are driven to be at the cutting edge of machine learning in research, engineering, and impactful applications. We are looking for world-class engineers to tackle cutting-edge problems in Machine ...

Machina Labs

Machine Learning Engineer

Chatsworth, ON

CA$160K - CA$190K/yr

This is a hands-on role for someone who thrives at the intersection of research and production ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsResearch Machine Learning JobsResearch Assistant Machine Learning JobsResearch Assistant Machine Learning Jobs in Ontario

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 Jul 25, 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 job?

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 in 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 in the Research Assistant Machine Learning position, and why are they important?

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:
Research Assistant Machine Learning jobs near you
Infographic showing various Research Assistant Machine Learning job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $72,431 per year, or $34.8 per hour.
Research Director, Machine Learning

Research Director, Machine Learning

Royal Bank of Canada

Toronto, ON

Full-time

Posted 6 days ago

Job description

Job Description

RBC Borealis is looking for an experienced Director to lead a team of machine learning researchers and research engineers delivering cutting-edge applied AI solutions for the financial services industry. As a Director of Machine Learning Research, you'll provide strategic leadership and direction to drive the effectiveness of your team, enabling them to deliver high-value business outcomes through advanced machine learning, statistical modeling, and data-driven innovation.

You'll be part of a collaborative organization working directly with leading researchers in machine learning, with access to rich and massive datasets and computational resources that support cutting-edge ML R&D.

Your responsibilities include:

  • Research Leadership. Develop and productize innovative machine learning approaches and novel intellectual property, driving business impact through applied research in optimization, causal inference, and advanced statistical methods;
  • Team Leadership. Lead a team of researchers and research engineers who contribute to high-value AI solutions across multiple business initiatives, ensuring technical excellence and successful delivery;
  • Stakeholder Engagement. Engage with business partners to define machine learning solutions that meet business needs, working closely with stakeholders to understand requirements and develop effective solutions;
  • Technical Guidance. Provide technical leadership and scientific guidance to applied research projects, collaborating with cross-functional teams to drive innovation in areas such as A/B testing, causal inference, model optimization, and performance trade-offs;
  • Thought Leadership. Establish RBC Borealis as a thought leader in applied machine learning research, contributing to the company's reputation through publications, talks, and industry engagement.

You're our ideal candidate if you have:

  • A Ph.D. degree in Computer Science, Statistics, Machine Learning, or a related technical field;
  • 10+ years of experience leading high-impact machine learning solutions in a product-centric environment;
  • 5+ years of experience managing high-performing teams of researchers, data scientists, and engineers;
  • Proven expertise across the research and development lifecycle, from prototyping to production, with strong ability to engage stakeholders;
  • Deep expertise in machine learning, statistics, and data science with experience in optimization, A/B testing, and causal inference;
  • A history of high-quality academic publications at top-tier conferences (NeurIPS, ICML, ICLR, etc.);
  • Exceptional communication skills and ability to translate complex concepts to diverse audiences.

What's in it for you?

  • Lead a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential;
  • Lead cutting-edge work in applied machine learning research with access to significant computational resources;
  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable;
  • 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.


#LI-POST
#TECHPJ

Job Skills

Budgeting, Business Analytics, Business Process Design, Conflict Management, Effectiveness Measurement, Group Problem Solving, Industry Knowledge, Interpersonal Relationships, Oral Communications, Research and Development Operations

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:

2026-07-17

Application Deadline:

2026-08-17

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.

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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

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