1

Internship Computer Vision Robotics Jobs in Toronto, ON

Research Scientist, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

Mentor junior scientists and interns; foster a culture of scientific rigor and rapid ... D. in Computer Vision, Machine Learning, Robotics, or a related field or equivalent research ...

You will collaborate and exchange ideas with our team, which includes world-renowned engineers and scientists specializing in robotics, deep learning, computer vision, and autonomous driving. We ...

Research Engineer, World Models

Toronto, ON · On-site +1

CA$155K - CA$269K/yr

You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent industry experience in model development and scaling. * Expert domain knowledge: You have ...

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

... vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto ... Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field ...

Showing results 21-40

Internship Computer Vision Robotics information

What is an internship computer vision robotics?

Internship Computer Vision Robotics positions are temporary roles designed for students or early-career professionals to gain practical experience in applying computer vision techniques within robotic systems. Interns in these roles typically work on projects involving image processing, object detection, 3D vision, and integrating visual data into robotic control systems. These internships help candidates build technical skills, gain exposure to real-world robotics challenges, and often require knowledge of programming languages such as Python or C++, as well as familiarity with machine learning frameworks. They are commonly offered by research labs, tech companies, and robotics startups.

What are the key skills and qualifications needed to thrive as an internship computer vision robotics?

To thrive in an Internship Computer Vision Robotics role, you typically need a solid background in computer science, mathematics, and robotics, often supported by coursework or projects in machine learning and image processing. Familiarity with programming languages like Python or C++, and experience using tools such as OpenCV, ROS, and deep learning frameworks (e.g., TensorFlow or PyTorch) are commonly required. Strong problem-solving, teamwork, and effective communication skills set candidates apart in multidisciplinary environments. These skills are essential for developing innovative solutions and collaborating on complex robotics projects.

What types of projects and technologies will I typically work on during an internship in computer vision robotics?

As an intern in computer vision robotics, you will often work on hands-on projects involving tasks like object detection, image segmentation, sensor data processing, or robotic navigation. You may use programming languages like Python or C++, and frameworks such as OpenCV, ROS (Robot Operating System), and TensorFlow or PyTorch for machine learning components. Interns collaborate closely with engineers and researchers, participating in code reviews, testing algorithms on real or simulated robots, and troubleshooting system integration. This role offers exposure to both software development and hardware interaction, providing a comprehensive experience in robotics and computer vision.

What is the difference between Internship Computer Vision Robotics vs Internship Machine Learning?

AspectInternship Computer Vision RoboticsInternship Machine Learning
Required CredentialsRelevant coursework, basic programming skills, familiarity with robotics and vision toolsProgramming skills, math background, familiarity with algorithms and data analysis
Work EnvironmentRobotics labs, hardware integration, software developmentData analysis, software development, research environments
Employer & Industry UsageRobotics companies, research labs, tech firms working on autonomous systemsTech companies, research institutions, AI startups

Internship Computer Vision Robotics focuses on developing systems that enable robots to interpret visual data, combining hardware and software skills. In contrast, Internship Machine Learning emphasizes designing algorithms to analyze data and build predictive models. Both roles require programming knowledge but differ in their application areas and work environments.

What are popular job titles related to Internship Computer Vision Robotics jobs in Toronto, ON?

For Internship Computer Vision Robotics jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Internship Computer Vision Robotics job openings in Toronto, ON as of September 2026, with employment types broken down into 1% As Needed, 70% Full Time, 22% Part Time, and 7% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Head of Toronto AI Center

Toronto, ON • On-site

Samsung Research America
Appliances and Electrical and Electronics Wholesalers • 10K+ employees

Full-time

Posted 20 days ago


Samsung Electronics rating

6.7

Company rating: 6.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz


Job description

Lab Summary:

Samsung Research America (SRA) develops next-generation technologies in software, user experience, and services for future products. Headquartered in Silicon Valley with locations across North America, we partner with industry and academia to translate research and innovation into tangible outcomes. We lead in machine intelligence by building AI that is user-centric and physically grounded-AI that understands not just what users want, but their physical context and environment.

Samsung is uniquely positioned to bring this vision to life through nearly 500 million connected devices we sell annually. Our mission is to holistically integrate AI into connected ecosystems-homes, offices, robotics, and beyond-creating a platform that scales quickly while providing deep contextual understanding and spatial awareness.

 The AI Center in Toronto, Canada plays a pivotal role in developing next-generation software, user experiences, and intelligent services that enrich consumers' lives. This lab actively contributes to the international research community through publications and presentations at major conferences.

 Areas of Research:

  • Computer Vision
  • Contextual/Multi-Modal Modeling
  • 3D Perception & Scene Understanding
  • Inference and Reasoning
  • Machine and Deep Learning
  • Human Computer Interaction (HCI)
  • Natural Language Processing

Position Summary:

Samsung's AI research team in Toronto is looking for an outstanding and highly self-motivated leader to head the lab. The candidates should have extensive expertise in deep learning, computer vision and physics-based AI.

The AI research center is a key part of Samsung's global R&D effort and aims to have direct impact on future Samsung products reaching hundreds of millions of users globally. The candidate will work with a team of research scientists and engineers tackling real-world problems involving Samsung's Artificial intelligence products. The candidate can also have the opportunity to publish at top-tier conferences in deep learning, computer vision, and language understanding.

Position Responsibilities:

  • Build, manage, develop, lead, and support the AI research team, with the outcome of high-impact research insights that influence the product roadmap
  • Present research findings and insights both within and outside of the company
  • Serve as a thought partner with the executive, cross-functional, and line of business leadership teams
  • Be an evangelist of research practices throughout the company, influencing partner teams
  • Drive innovation programs within the relevant fields of Artificial Intelligence,
  • Serve as the external face for the AI Research Lab's advanced technology capabilities
  • Drive key University technology collaboration program to build long term innovation partnerships
  • Lead Technology Pathfinding to understand key technology trends and impact for Samsung, to help drive growth and new business opportunities for Samsung

 Required Skills:

  • PhD in Computer Science, Artificial Intelligence, or equivalent combination of education, training, and experience
  • 10+ years of post-PhD experience leading advanced AI research.
  • Deep expertise in vision and multimodal AI and agentic AI (autonomous agents, reasoning, decision-making), plus strong foundations in computer vision, image/video processing, and generative AI applications.
  • Significant experience of publishing relevant peer-reviewed articles on artificial intelligence
  • Strong algorithmic problem-solving skills, and the ability to program in C/C++, Python, Java, etc.
  • Experience in publishing scientific papers in top quality conferences/journals (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, SIGGRAPH, CoRL, etc.)
  • Experience in DL library such as PyTorch, TensorFlow, JAX, etc. with strong hands on experience is required
  • Experience working with GPU, parallel programming, and Simulation environments is a plus
  • Experience in Android development and graphic rendering is a plus
  • Ability to work as a team, motivation for international collaboration, strong communication skills, self-motivated, proactive, flexible and passionate about learning
  • Ability to work well in a fast-paced global team environment
  • Strong network of relationships with entrepreneurs, VC's industry executives, and technology thought leaders
  • Strong presentation skills and excellent interpersonal skills

What Samsung Electronics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom