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Research Assistant Deep Learning Jobs in Waterloo, ON

Senior Manager, Embedded SW ITE & RIC

Kitchener, ON ยท Hybrid

CA$112K - CA$140K/yr

... 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 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:

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.

Research Assistant II

University of Waterloo

Waterloo, ON โ€ข On-site

Full-time

Re-posted 20 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:

2026-00724


Time Type:

Full time

Employee Group:

Staff

Job Category:

Laboratory Support

Employment Type:

Temporary

Department:

Faculty of Science - Biology - Administration

Hiring Range:

$51,306.48 - $64,133.10

Posting Information:
This posting is for an existing vacancy.

This position is being offered as a temporary contract. Term: 1 year

Job Description:

Primary Purpose

The Research Assistant II will work in the lab of Dr. Mark Servos in the Department of Biology at the University of Waterloo. The successful candidate must have a strong background in analytical chemistry, particularly in environmental sample preparation and instrumental analysis. They will perform extraction and analysis on wastewater treatment plant effluent for pharmaceuticals and drugs of abuse. This includes maintaining sample collection, preparing samples, extracting samples, maintaining QA/QC and analysis with LC-MS/MS. The assistant will be coordinating sample pickup, sample extraction, LC-MS analysis and completing data analysis and reporting. The assistant will be responsible for safety inspections, chemical and supply inventory, data management and writing SOPs.

Key Accountabilities

Research Support:

  • Duties may include but are not limited to the following:
    • Operates, maintains and troubleshoots problems with standard research equipment
    • Responsible for maintaining inventory of general research materials and supplies
    • Responsible for completing safety inspections and managing chemical inventory
    • Participate in conducting experiments or research work by performing specific assigned tasks, such as data/specimen/sample collection, identification and fieldwork
    • Organize and maintain documentation, experimental records and data; including electronic files and backups
    • Assists in analyzing and interpreting experiment results or research data by performing tasks such as assembly, compilation and summary of statistical and other data
    • Participates in the development of research related documents, including ethics applications, journal publications and dissemination of research findings
    • May help train undergraduate students and provide general onboarding for policies and procedures, and operation of equipment including writing and validating SOPs
    • Assists with special projects and other duties related to the research

Required Qualifications

Education

  • Completion of a BSc is required; an MSc is preferred.
  • A degree in Chemistry, Analytical Chemistry or Biochemistry is strongly preferred.

Experience

  • Experience with LC-MS and Agilent Mass Hunter is required
  • Experience with coding, Python or R is an asset.
  • Minimum one year demonstrated experience in a research academic environment is preferred.
  • Demonstrated ability to maintain strict confidentiality.
  • Knowledge of University of Waterloo policies and procedures is an asset.

Knowledge/Skills/Abilities

  • A full G driver's license is required
  • Intermediate computer skills and knowledge of software applications used in an office/lab setting, including word and excel.
  • Proven high-quality customer service interactions with faculty, staff and students.
  • Proven aptitude for attention to detail, time management and initiative.
  • Demonstrated decision-making skills, including the ability to ask probing questions and anticipate customer needs.
  • Excellent communication skills, oral and written.

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.