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Computer Vision Research Assistant Jobs in Ontario

The Rotman Research Institute at Baycrest has an exciting opportunity for a RESEARCH ASSISTANT ... computer skills and working knowledge of Microsoft Office applications • Experience using ...

Research Assistant

Ottawa, ON

CA$31.89 - CA$50.25/hr

Research Assistant (CUPE) Posting Type: Recherche / Research Course Title: N/A Course Code: N/A ... computer graphics software Additional Information and/or Comments: All University of Ottawa ...

The Research Assistant will work with other technical staff at IISD-ELA to ensure that research and ... Proficiency with computer software (e.g., Microsoft Access, Excel, R, etc.). * Knowledge of safety ...

Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at ... We are in search of passionate Research Scientists with a specialization in Computer Vision to ...

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

... computer vision, and self-driving technologies to develop cutting-edge solutions that enable our ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

The Research Assistant will work with other technical staff at IISD-ELA to ensure that research and ... Proficiency with computer software (e.g., Microsoft Access, Excel, R, etc.). * Knowledge of safety ...

Research Scientist

Toronto, ON

CA$158K - CA$269K/yr

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

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

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

... computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.), post to our company ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

As an Applied Research Scientist, you will lead the design, development, and deployment of scalable ... NLP venues (ACL, EMNLP); or computer vision venues (CVPR, ICCV). Responsibilities Innovation: Stay ...

Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the ...

Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications. - Research and implement the ...

The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and ...

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Computer Vision Research Assistant information

What are the key skills and qualifications needed to thrive as a Computer Vision Research Assistant, and why are they important?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are Computer Vision Research Assistants?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What are the typical projects and daily tasks for a Computer Vision Research Assistant?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.
What are the most commonly searched types of Computer Vision Research jobs in Ontario? The most popular types of Computer Vision Research jobs in Ontario are:
What are popular job titles related to Computer Vision Research Assistant jobs in Ontario? For Computer Vision Research Assistant jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Computer Vision Research Assistant jobs? Cities in Ontario with the most Computer Vision Research Assistant job openings:
Infographic showing various Computer Vision Research Assistant job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution.
Senior Data Scientist - Computer Vision

Senior Data Scientist - Computer Vision

Zesty.ai

Toronto, ON • On-site, Remote

Other

Posted 6 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. 

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.