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Machine Learning Research Intern Jobs in Waterloo, ON

In this applied research role your primary directive is to push the boundaries of what AI and ... You have an obsessive curiosity about how machines interact with the physical world. * Autonomous ...

Assess and determine the appropriateness of machine learning algorithms, and other techniques to ... Our active work toward reconciliation takes place across our campuses through research, learning ...

Analog Mixed -Signal IC Designer

Waterloo, ON · On-site

CA$93K - CA$124K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... A workplace that values diversity, learning, and innovation. What happens next Apply online-our ...

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... Experience in medical or scientific research and development, product design, product management ...

Credit & Collections Team Lead

Waterloo, ON · On-site

CA$68K - CA$91K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... Learning and development programs. What happens next Apply online and our Talent Acquisition team ...

Senior Technical Leader

Waterloo, ON · On-site

CA$114K - CA$152K/yr

Teledyne Digital Imaging's products are used worldwide in machine vision, document scanning, image ... Learning and development programs. Occasional travel may be expected to support new customers and ...

Showing results 21-38

Machine Learning Research Intern information

See Waterloo, ON salary details

$17.7K

$113.6K

$207.5K

How much do machine learning research intern jobs pay per year?

As of Sep 5, 2026, the average yearly pay for machine learning research intern in Waterloo, ON is $113,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,693.00 and $160,832.00 per year, depending on experience, location, and employer.

What does a machine learning research intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.

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

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by machine learning research interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What are popular job titles related to Machine Learning Research Intern jobs in Waterloo, ON?

For Machine Learning Research Intern jobs in Waterloo, ON, the most frequently searched job titles are:

What job categories do people searching Machine Learning Research Intern jobs in Waterloo, ON look for?

The top searched job categories for Machine Learning Research Intern jobs in Waterloo, ON are:

What cities near Waterloo, ON are hiring for Machine Learning Research Intern jobs?

Cities near Waterloo, ON with the most Machine Learning Research Intern job openings:

Infographic showing various Machine Learning Research Intern job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,579 per year, or $54.6 per hour.

Senior SR&ED Consultant (Software Engineering)

KPMG

Kitchener, ON • On-site

Full-time

Re-posted 6 days ago


Job description

Overview

At KPMG in Canada, our people bring their unique perspectives to Canada’s most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. 

Canada’s Scientific Research and Experimental Development (SR&ED) program is one of the country’s largest tax incentive programs. It is intended to create a supportive environment for Canadians to carry out research and development (R&D) and foster technological innovation. KPMG’s Tax Incentives Practice (TIP) consists of a multi-disciplinary team of engineers and accountants that assist our clients to obtain tax savings through incentive programs like SR&ED 

KPMG is currently seeking a technology-minded professional to join its SR&ED Tax Incentives group. The specific opportunity is for an engineering or computer science trained/experienced professional working in the Software Development space who is seeking to transition and grow into a consultative role.

In this role, you will attend meetings with the likes of CTO’s, Chief Architects and Software Developers in order to assess client projects for SR&ED potential. During discussions with clients, you will identify software and/or computer engineering related activities that qualify for the SR&ED program. In this capacity, your ability to quickly understand and contextualize new concepts such as software architectures, frameworks, system integrations, and new/improved algorithms will be instrumental. Once the necessary information has been obtained, you will prepare the technical summaries to justify the projects for SR&ED tax credits.


What you will do
  • Interviewing client personnel to gather pertinent supporting information and articulating compelling arguments to support SR&ED project claims
  • Examining client technologies, products and operations to determine which of their R&D activities qualify for SR&ED incentives
  • Project Management: Plan, organize and execute multiple engagements on time and within budget
  • Client Management: Successfully develop and manage client relationships/expectations
  • Keeping up-to-date with innovative technologies and trends in the world of Information Technology, Artificial Intelligence, Machine Learning and Data Analytics
  • Having an understanding of the SR&ED program and the desire to keep up to date with changes in legislation

What you bring to the role
  • BASc. or M.Sc. in Computer Science, Software, Mechatronics or Electrical Engineering OR similar field
  • 2 years of experience in software development or other IT technology R&D capacity
  • Experience in SR&ED or other R&D related government tax incentive programs is an asset
  • High comfort level and knowledge of computer software/IT technology topics and related terminology
  • Ability to conduct conversations to understand root causes for issues and grasp key development concepts in R&D scope
  • Ability to work closely with clients of all training backgrounds and to manage client expectations
  • Self-starter with an ability to prioritize tasks for multiple clients to consistently achieve delivery milestones

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $61,000 to $95,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best#LI-JS22

For more informa

For more information about KPMG in Canada’s Benefits and well-being, click here. 


Our Values, The KPMG Way

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG’s Employee Relations Service team by calling 1-888-466-4778.

AI Usage

Weembrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG’s Trusted AI framework.

We believe technology should empower human judgment, not replace it. It’s one of the many ways we’re delivering on our vision of being a technology-first, people-driven firm.

Qualifications:
  • BASc. or M.Sc. in Computer Science, Software, Mechatronics or Electrical Engineering OR similar field
  • 2 years of experience in software development or other IT technology R&D capacity
  • Experience in SR&ED or other R&D related government tax incentive programs is an asset
  • High comfort level and knowledge of computer software/IT technology topics and related terminology
  • Ability to conduct conversations to understand root causes for issues and grasp key development concepts in R&D scope
  • Ability to work closely with clients of all training backgrounds and to manage client expectations
  • Self-starter with an ability to prioritize tasks for multiple clients to consistently achieve delivery milestones

KPMG Ontario Region Pay Range Information

The expected base salary range for this position is $61,000 to $95,000 and may be eligible for bonus awards. The determination of an applicant’s base salary within this range is based on the individual’s location, skills & competencies, and unique qualifications. In addition, KPMG offers a comprehensive and competitive Total Rewards program.

Providing you with the support you need to be at your best#LI-JS22

For more informa

For more information about KPMG in Canada’s Benefits and well-being, click here. 

Education:UNAVAILABLEEmployment Type: FULL_TIME