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Research Assistant Deep Learning Jobs in Waterloo, ON

D2L

Senior Technical Accountant

Kitchener, ON · On-site

Research and analyze technical accounting matters for key business initiatives and develop related ... Deep understanding of business processes and ability to propose and implement improvements to ...

Teledyne

Senior Electronics Designer

Waterloo, ON · On-site

CA$102K - CA$136K/yr

S. publicly listed enterprise, and specializes in the manufacture, design, research and development ... Deep experience with PCB design tools (e.g., Siemens PADS) and advanced lab instrumentation.

Teledyne

Principal Electronics Designer

Waterloo, ON · On-site

CA$124K - CA$165K/yr

S. publicly listed enterprise, and specializes in the manufacture, design, research and development ... Support customer engagements and technical discussions where deep electronics expertise is required.

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All JobsResearch Deep Learning JobsResearch Assistant Deep Learning JobsResearch Assistant Deep Learning Jobs in Waterloo, ON

Research Assistant Deep Learning information

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 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 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 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 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:

Research Assistant Deep Learning jobs near you
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.

Biological Engineering Lab Technician (Temporary Full-Time)

University of Guelph

Guelph, ON • On-site

Full-time, Temporary

Posted 10 days ago

Job description

Department: CoE-Office of the Dean
Position covered by the Collective Agreement with USW Local 4120

Temporary full-time from September 7, 2026 to August 6, 2027
Temporary Absence of the Regular Incumbent

If you are a current employee of the University of Guelph you must apply on the internal Career Page in order to be considered as an internal applicant. 
Career Opportunities (sapsf.com)

General Purpose

The College of Engineering is seeking a Biological Engineering Laboratory Technician to support undergraduate teaching and research laboratories. Reporting to the Technical Services Manager, the successful candidate will play a key role in ensuring the safe, effective, and efficient operation of biological engineering laboratories while providing technical expertise to faculty, staff, researchers, and students. This position contributes directly to student learning, research excellence, and the continued advancement of the College's teaching and research facilities.

Duties and Responsibilities

The successful candidate will:

  • Manage the day-to-day operation of undergraduate teaching and research laboratories.
  • Prepare, maintain, calibrate, troubleshoot, and repair specialized laboratory equipment and instrumentation.
  • Promote and maintain a strong laboratory safety culture by ensuring compliance with University policies and health and safety regulations.
  • Support faculty, researchers, graduate students, and undergraduate students by providing technical expertise, equipment training, and assistance with laboratory activities and experiments.
  • Assist with the development of laboratory procedures, instructional materials, equipment procurement, inventory management, and laboratory improvements.
  • Participate in departmental committees, outreach activities, and special projects supporting the College of Engineering.

Requirements

The successful candidate will possess:

  • A three-year diploma in Biomedical Engineering Technology or a related discipline.
  • Several years of relevant laboratory experience, preferably supporting teaching and research in a post-secondary, research, or industrial environment.
  • Experience maintaining, calibrating, and troubleshooting scientific instrumentation and laboratory equipment.
  • Demonstrated knowledge of laboratory safety practices, biological sciences, and technical laboratory procedures.
  • Excellent organizational, communication, problem-solving, and interpersonal skills, with the ability to work both independently and collaboratively.
  • Certified Engineering Technologist (CET) designation is considered an asset.

If you are passionate about supporting innovative teaching, research, and student success in a collaborative academic environment, we encourage you to apply.

Employee Type: Regular 
Position Number: 10126080 
Classification: USW, Local 4120 Salary: Band 6  
USW Local 4120 Wage Grid

*Tentative evaluation; subject to final review.

At the University of Guelph, fostering a culture of inclusion is an institutional imperative. The University invites and encourages applications from all qualified individuals, including from groups that are traditionally underrepresented in employment, who may contribute to further diversification of our Institution.

Posting Date: 08/25/2026  
Closing Date: 09/02/2026

Apply