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Computer Science Research Assistant Jobs in Toronto, ON

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Senior Scientist - Agentic AI Systems

Mississauga, ON ยท On-site +1

CA$108K - CA$157K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field * 1+ years of experience building AI/ML models and systems in research or ...

Senior Scientist - Agentic AI Systems

Maple, ON ยท On-site +1

CA$108K - CA$157K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field * 1+ years of experience building AI/ML models and systems in research or ...

Senior Scientist - Agentic AI Systems

Brampton, ON ยท On-site +1

CA$108K - CA$157K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field * 1+ years of experience building AI/ML models and systems in research or ...

Senior Scientist - Agentic AI Systems

Unionville, ON ยท On-site +1

CA$108K - CA$157K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field * 1+ years of experience building AI/ML models and systems in research or ...

Senior Scientist - Agentic AI Systems

Toronto, ON ยท On-site +1

CA$108K - CA$157K/yr

... Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, Computational Biology, or related field * 1+ years of experience building AI/ML models and systems in research or ...

Maintain the laboratory and equipment in a functional state to provide necessary services * Assist ... PhD in Physics/Electrical Engineering/Materials Science & Engineering * Required Skills * Proven ...

Research Scientist, Neural Reconstruction

Toronto, ON ยท On-site +1

CA$155K - CA$269K/yr

D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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Computer Science Research Assistant information

See Toronto, ON salary details

$14.3K

$61.4K

$140.3K

How much do computer science research assistant jobs pay per year?

As of Jul 14, 2026, the average yearly pay for computer science research assistant in Toronto, ON is $61,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,264.00 and $72,529.00 per year, depending on experience, location, and employer.

What is a Computer Science Research Assistant job?

A Computer Science Research Assistant supports professors or researchers in conducting experiments, analyzing data, and developing software or algorithms. They may assist with literature reviews, coding, debugging, or testing to advance research projects. The role often involves working with programming languages, machine learning, cybersecurity, or other specialized topics. It provides valuable experience for students or professionals looking to deepen their knowledge in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Research Assistant position, and why are they important?

To thrive as a Computer Science Research Assistant, you need strong analytical skills, proficiency in programming languages (such as Python, Java, or C++), and a solid understanding of algorithms and data structures, usually evidenced by coursework or a relevant degree. Familiarity with research tools, version control systems (like Git), and possibly certifications in data analysis or machine learning are advantageous. Excellent problem-solving abilities, attention to detail, and effective written and verbal communication help individuals excel when collaborating on research projects. These competencies enable you to support rigorous research, contribute to innovative solutions, and work efficiently as part of an academic or industry research team.

What are typical duties and daily responsibilities of a Computer Science Research Assistant?

As a Computer Science Research Assistant, your daily responsibilities often include assisting with data collection and analysis, developing or testing software prototypes, conducting literature reviews, and helping prepare reports or presentations for research findings. You may also collaborate closely with faculty, graduate students, or industry partners, contributing to coding tasks, experimental setups, and troubleshooting technical issues as they arise. The role frequently involves both independent problem-solving and teamwork, providing a supportive environment to deepen technical skills and gain hands-on research experience. This position is an excellent opportunity to develop your research portfolio, learn advanced computing concepts, and prepare for potential graduate study or specialized tech careers.

What are the most commonly searched types of Computer Science Research jobs in Toronto, ON? The most popular types of Computer Science Research jobs in Toronto, ON are:
What are popular job titles related to Computer Science Research Assistant jobs in Toronto, ON? For Computer Science Research Assistant jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Computer Science Research Assistant jobs in Toronto, ON look for? The top searched job categories for Computer Science Research Assistant jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Computer Science Research Assistant jobs? Cities near Toronto, ON with the most Computer Science Research Assistant job openings:
Infographic showing various Computer Science Research Assistant job openings in Toronto, ON as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $61,439 per year, or $29.5 per hour.
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

Zesty.ai

Toronto, ON โ€ข On-site, Remote

Other

Posted 4 days ago


Job description

Senior Data Scientist - Computer Vision

Remote, Canada

Events in recent years have made us all too familiar with the havoc natural disasters can wreak and the increasing frequency and intensity with which they occur. Despite record losses, conventional risk modeling methods continue to paint, at best, an incomplete picture of these threats.

ZestyAI uses novel data-gathering and data science methods to produce higher-quality information about the risks to property from catastrophes such as storms and wildfires. While AI alone may not be able to thwart these disasters, it can help us become better prepared for them, and ultimately lead to better outcomes.

As a Senior Data Scientist specializing in deep learning for computer vision, you will play a pivotal role in our Data Science and Machine Learning team. You will be responsible for training, deploying, and optimizing state-of-the-art deep learning models to tackle challenging computer vision problems. You will scale the development of top-tier models by leveraging diverse data sources, generating valuable insights, and maximizing the impact of our products. You thrive in a collaborative, innovative environment that moves fast and are comfortable establishing structures and processes that drive the company's success.

The Opportunity:

  • Explore data sources and develop new PropertyTech and InsurTech models using data science, including machine learning and deep learning.
  • Research, design, and implement deep learning algorithms and architectures that extract insights from imagery sources such as aerial imagery and geospatial data.
  • Lead the development of high-quality datasets for robust model training and evaluation.
  • Collaborate closely with cross-functional teams to understand requirements and translate product, engineering, and business constraints and questions into actionable data science problems.
  • Coach and provide feedback to members of the Data Science and Machine Learning team, fostering skill development and knowledge sharing.

What You Bring to the ZestyAI Team:

  • At least 5 years of experience applying machine learning techniques to computer vision applications.
  • BA/BS/BEng degree in Math, Physics, Computer Science, Engineering, Economics, or other related fields. MS or PhD is a plus.
  • Strong understanding of image processing, machine learning, deep learning, and AI principles.
  • Extensive hands-on experience designing and implementing deep learning models.
  • Experience deploying deep learning models in production environments.
  • Proficiency in Python, with experience using deep learning frameworks (e.g., PyTorch, TensorFlow) and related libraries (e.g., OpenCV, Pillow, Matplotlib, Plotly).
  • Understanding of data preprocessing and augmentation techniques for large-scale image datasets (bonus if experienced with aerial or satellite imagery).
  • Experience working with cloud computing platforms (e.g., Google Cloud Platform, AWS) and containerization/orchestration tools (e.g., Kubernetes, Docker).
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows.
  • Experience working with BigQuery and SQL.
  • Experience using generative AI coding tools such as Claude Code and Cursor.
  • Excellent problem-solving skills and ability to work independently or as part of a team in a dynamic environment.
  • Strong organizational and management skills, with experience implementing best practices and processes.
  • Proven ability to mentor and guide junior team members, fostering a collaborative and supportive environment.
  • Strong communication skills.
  • Must be legally eligible to work in Canada.ย 

Why ZestyAI:

  • Be part of a well-funded, growth-stage start-up.
  • Market-competitive compensation and equity incentives, giving you a stake in our future.
  • Comprehensive healthcare plan.
  • Flexible time off and fully remote work.
  • An upbeat and collaborative work culture.
  • Professional development opportunities and support for continued learning and growth.
  • Company-sponsored outings and offsites.

All of your personal information will be kept confidential according to EEO guidelines.