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Intern Computer Vision Deep Learning Engineer Jobs in Toronto, ON

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Targeted Talent

Senior Deep Learning Engineer

Toronto, ON · On-site +1

$130K - $180K/yr

Bachelor's degree in Computer Science, Engineering, or related field * 5+ years of experience, with at least 2 years in both deep learning and software engineering * Proficiency in deep learning ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Career Renew

Senior Machine Learning Engineer

Toronto, ON · Remote

$165K - $225K/yr

Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...

Quincus

Machine Learning Engineer

Toronto, ON · On-site

... deep learning and reinforcement learning. Qualifications: - Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. - 3+ years of experience in software ...

Motorola

Director of Computer Vision

Toronto, ON

Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...

NTENT

Machine Learning Engineer

Toronto, ON · Remote

Machine learning, natural language processing, learning-to-rank, online learning, deep learning ... Graduate degree in Computer Science with a strong background in machine learning required. * Strong ...

Waabi

Research Engineer

Toronto, ON · On-site +1

CA$122K - CA$215K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Waabi

Senior / Staff Perception Engineer

Toronto, ON

CA$158K - CA$269K/yr

You will work closely with our team of world-renowned scientists and engineers specializing in deep learning, computer vision, and self-driving technologies to develop cutting-edge solutions that ...

Themis

Machine Learning Engineer

Mississauga, ON

CA$85K - CA$135K/yr

Develop and deploy machine learning and deep learning models for time-series forecasting, anomaly ... A Bachelor's degree in Computer Science, Mathematics, Engineering, Statistics, or a related ...

Td

Machine Learning Engineer

Toronto, ON

CA$120K - CA$250K/yr

... computer science, Statistics, Mathematics, Engineering or a related field * 3+ years of developer experience shipping code in production settings * Strong background in machine learning and deep ...

Td

Senior Machine Learning Engineer

Toronto, ON

CA$170K - CA$250K/yr

... computer science, Statistics, Mathematics, Engineering or a related field * 3+ years of developer experience shipping code in production settings * Strong background in machine learning and deep ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Toronto, ON

Intern Computer Vision Deep Learning Engineer information

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Toronto, ON? For Intern Computer Vision Deep Learning Engineer jobs in Toronto, ON, the most frequently searched job titles are:
Intern Computer Vision Deep Learning Engineer jobs near you
Senior Deep Learning Engineer

Senior Deep Learning Engineer

Targeted Talent

Toronto, ON • On-site, Remote

$130K - $180K/yr

Full-time

Posted 28 days ago

Job description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 5+ years of experience, with at least 2 years in both deep learning and software engineering
  • Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
  • Experience with CNNs, LSTMs/RNNs, Transformers
  • Strong math skills and Python proficiency
  • Experience with C/C++

Preferred Skills & Experience:

  • Master's or PhD in Computer Science, Engineering, or related field
  • Experience in embedded or low-level programming
  • Knowledge of CUDA/OpenGL
  • Experience deploying neural networks in production
  • Familiarity with model compression techniques like quantization, pruning, etc.
These are permanent full time remote positions.
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Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Vancouver, BC, CA

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