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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 ...

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

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 ...

Invision AI

Machine Learning Engineer

Toronto, ON · Hybrid

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... While the work may involve researching and implementing new approaches, this is primarily an ...

Invision AI

Machine Learning Engineer

Toronto, ON · On-site

We are looking for a Machine Learning Engineer to join our Toronto team and help us take our ... While the work may involve researching and implementing new approaches, this is primarily an ...

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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 Sep 10, 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:

Research Assistant Machine Learning jobs near you
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.

Research Machine Learning Scientist

Toronto, ON • On-site

Td
See more jobs at Tdexternal

CA$140K - CA$250K/yr

Full-time

Re-posted 24 days ago

Key responsibilities

  • Research, develop, and apply new techniques in deep learning to advance machine learning products.

  • Work with large-scale, real-world datasets and collaborate with engineering teams to deploy research into production.

  • Join a team of machine learning researchers and contribute to industry-leading AI research and applications.

Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$140,000 - $250,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

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 datasets and actively collaborate with world renowned academic faculty.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

As a Research Machine Learning Scientist, you will
  • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
  • Research, develop, and apply new techniques in deep learning to advance our industry leading products.
  • Work with large-scale, real-world datasets that range from banking transactions, to large document collections.
  • Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.
RequiredQualifications:
  • PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field
  • Strong background in machine learning and deep learning
  • 2+ years of research experience with publication record
  • Proven track record of applying machine learning to solve real-world problems
PreferredQualifications:
  • Depth of experience in relevant ML research disciplines
  • Hands on experience in software systems development
  • Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
  • Experience with Spark, SQL, or comparable database systems
  • Experience using GPUs for accelerated deep learning training
  • Familiarity with cloud computing systems like Azure or AWS
  • Experience in LLM post-training and inference methods
  • Deep understanding of reinforcement learning and its applications to agent training

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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