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Research Assistant Deep Learning Jobs in Waterloo, ON

Junior Machine Learning Engineer

Waterloo, ON · On-site

CA$80K - CA$95K/yr

Develop, train, test, and evaluate conventional machine learning and deep learning models. * Work ... * Assist in building model pipelines, experimentation workflows, and deployment processes.

Machine Learning Engineer, Edge AI

Waterloo, ON · On-site

CA$120K - CA$170K/yr

Deep understanding of modern AI architectures including CNNs, Transformers, state-space models, and ... Practical experience translating research concepts into production-quality systems. * Strong ...

... R&D Provide technical leadership and decision-making authority for signal processing realization, controller software, and system integration topics Collaborate cross-functionally with Deep Learning ...

Create and deploy test fixtures to support R&D systems * Maintain and train new employees on the ... deep learning and generating optimal shipping routes using genetic algorithms. We design ...

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Research Assistant Deep Learning information

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

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

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.
What job categories do people searching Research Assistant Deep Learning jobs in Waterloo, ON look for? The top searched job categories for Research Assistant Deep Learning jobs in Waterloo, ON are:
What cities near Waterloo, ON are hiring for Research Assistant Deep Learning jobs? Cities near Waterloo, ON with the most Research Assistant Deep Learning job openings:
Infographic showing various Research Assistant Deep Learning job openings in Waterloo, ON as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Full-time

Re-posted 4 days ago


Job description

At theUniversity of Waterloo, we create and promote a culture where everyone can reach their full potential. As an employee, you get support & opportunities that empower you to advance your career. Explore how we can bring big ideas to life, together. The University is a welcoming workplace for those of all abilities, interests, and expertise. As part of our workforce, you can do what you do best, every day.
Learn more about our recruitment process.

Job Requisition ID:

2026-01331


Time Type:

Full time

Employee Group:

Staff

Job Category:

Research and Innovation

Employment Type:

Permanent

Department:

Faculty of Science - School of Optometry and Vision Science - Centre for Ocular Research and Education Administration

Hiring Range:

$61,954.88 - $77,443.60

Posting Information:
This posting is for an existing vacancy.

The internal posting deadline for this position is July 16, 2026 at 11:59PM
This position is contingent on funding.

Job Description:

Primary Purpose

This position is primarily responsible for the management, distribution and accountability of the study products used by study participants of the Centre for Ocular Research and Education (CORE). The incumbent must educate study participants on the proper use of assigned products according to protocol requirements. This position is contingent upon funding.

Key Accountabilities

Management of Study Products

Acquire study products and study consumables.

Maintain inventory control and entry of product information into appropriate databases.

Liaise with CORE financial department to ensure study product costs are allocated appropriately.

Manage study product accountability throughout study.

Reconcile study products at end of each study.

Dispose of study products according to study protocol and appropriate UW guidelines.

Distribution of Study Products

Dispense study products according to approved randomization schedule.

Instruct study participants on the use and care of study products.

Manage the dispensing and returning of study products for each study as per protocol requirements.

Regulatory

Produce and maintain Standard Operating Procedures (SOPs), Work Instructions (WI) and TOOLS for management of study products according to regulatory guidelines.

Train other team members in the use of regulatory documents and ensure implementation.

Communication with Study Sponsors

Ensure all study product information is up-to-date and available for review by study monitors.

Meet with study monitors during scheduled visits to review accountability procedures and verify records.

Liaise with study sponsors as needed regarding study product matters.

Contribute to regular sponsor meetings and study progress reports.

Participate as a member of the study team representing CORE at both onsite and offsite training meetings organized by study sponsors as required.

Provide masked study product assignment information as required, e.g., for adverse event reports.

Management of Clinical Studies Conducted Remotely

Develop presentations and train external sites on the management and accountability of study products.

Create forms for study product accountability for each external site.

Coordinate and distribute all study related documents and supplies to external sites

Manage flow of data from the external sites to the CORE Data Management Team ensuring accuracy and completeness of data.


Required Qualifications

Education

High school diploma or equivalent. Optometric Assistant certification or equivalent training would be preferred, and a Certified Research Associate Designation would be an asset.

Experience

At least 3 years' experience in a vision or health care setting is preferred.

Knowledge of optometric terminology and vision care is a definite asset.

Experience in regulatory affairs and compliance is an asset.

Knowledge/Skills/Abilities

Demonstrated ability to operate with a high degree of confidentiality using discretionary judgment and excellent problem-solving skills.

Excellent oral and written communication skills with the ability to present detailed instructions and information in a clear, concise manner.

Demonstrated ability to take initiative in a fast-paced environment with multiple deadlines and conflicting requests.

Excellent organizational and interpersonal skills with exceptional attention to detail.

Proven ability to work with minimal supervision.

Knowledge of Microsoft Office suite and the willingness to become proficient in the use of in-house databases as required.


Equity Statement
The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg, and Haudenosaunee peoples. Our main campus is situated on the Haldimand Tract, the land granted to the Six Nations that includes six miles on each side of the Grand River. Our active work toward reconciliation takes place across our campuses through research, learning, teaching, and community building, and is coordinated within the Office of Indigenous Relations.
The University values the diverse and intersectional identities of its students, faculty, and staff. The University regards equity and diversity as an integral part of academic excellence and is committed to accessibility for all employees. The University of Waterloo seeks applicants who embrace our values of equity, anti-racism and inclusion. As such, we encourage applications from candidates who have been historically disadvantaged and marginalized, including applicants who identify as First Nations, Metis and/or Inuk (Inuit), Black, racialized, a person with a disability, women and/or 2SLGBTQ+.
Positions are open to qualified candidates who are legally entitled to work in Canada.
The University of Waterloo is committed to accessibility for persons with disabilities. If you have any application, interview, or workplace accommodation requests, please contact Human Resources athrhelp@uwaterloo.ca or 519-888-4567, ext. 45935.