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Intern Computer Vision Deep Learning Engineer Jobs in Toronto, ON

Td

Research Machine Learning Scientist

Toronto, ON

CA$140K - CA$250K/yr

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...

Boson AI

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

This involves integrating advanced language/voice/vision models, mastering fine-tuning techniques ... You will immerse yourself in challenging problems that demand a deep understanding of model ...

Waabi

2026 Intern, PhD Research Scientist

Toronto, ON

CA$60/hr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... Computer Science, Engineering, AI, Machine Learning, Computer Vision, Robotics and/or similar ...

Serve Robotics

Lead Machine Learning Engineer

Toronto, ON · Remote

$225K - $260K/yr

We are solving real-world problems leveraging robotics, machine learning and computer vision, among ... Work closely with ML scientists and other engineers to integrate new models, experiments, and ...

Adobe

Machine Learning Engineer

Toronto, ON · On-site

Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ... or PhD in computer science, statistics, engineering, or other relevant subject area highly ...

Bree

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

  • Dental

  • Vision

  • PTO

About the Role We're looking for aMachine Learning Engineer to build and scale high-impact, world ... Comprehensive dental / vision * $1,500 annual learning stipend * $1,000 annual wellness stipend ...

Waabi

Senior Software Engineer, Auto Labelling

Toronto, ON · On-site +1

CA$170K - CA$220K/yr

  • Medical

  • Dental

  • Vision

  • PTO

... computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale ... deep learning models, particularly large-scale online inference. - Proficient in Python with a ...

Waabi

Senior / Staff Software Engineer, Mapping

Toronto, ON · On-site +1

CA$141K - CA$242K/yr

  • Medical

  • Dental

  • Vision

  • PTO

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 ...

Waabi

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... learning, computer vision, and self-driving technologies. - Champion engineering excellence ...

Thri5 Inc.

AI / Machine Learning Engineer

Toronto, ON · On-site

Our vision is to become the trusted AI operating layer for retail execution, making every operator ... Founded by a team with deep retail and retail-technology experience, Thri5 is venture-backed by ...

BDO Canada

Senior Machine Learning Engineer

Oakville, ON · On-site

CA$84K - CA$128K/yr

  • PTO

Educational Background A Bachelor's or master's degree in computer science, Data Science ... Advanced programming skills in Python, with practical experience using popular machine learning ...

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Showing results 41-60

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 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?

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 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 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 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:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Toronto, ON look for?

The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Toronto, ON are:

Intern Computer Vision Deep Learning Engineer jobs near you

Research Machine Learning Scientist

Td

Toronto, ON

CA$140K - CA$250K/yr

Full-time

Re-posted 7 hours ago

Job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$140,000 - $250,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

We are currently seeking talented individuals for a variety of positions, ranging from junior to senior levels, and will evaluate your application in its entirety.

Layer 6 is the AI research centre of excellence for TD Bank Group. We develop and deploy industry-leading machine learning systems that impact the lives of over 27 million customers, helping more people achieve their financial goals and needs.

Our research broadly spans the field of machine learning with areas such as deep learning and generative AI, time series forecasting and responsible use of AI. We have access to massive financial datasets and actively collaborate with world renowned academic faculty.

We are always looking for people driven to be at the cutting edge of machine learning in research, engineering, and impactful applications.

As a Research Machine Learning Scientist, you will
  • Join a world-class team of machine learning researchers with an extensive track record in both academia and industry.
  • Research, develop, and apply new techniques in deep learning to advance our industry leading products.
  • Work with large-scale, real-world datasets that range from banking transactions, to large document collections.
  • Collaborate closely with our engineering team in a fast-paced startup environment and see your research deployed in production with very short turnaround.
RequiredQualifications:
  • PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field
  • Strong background in machine learning and deep learning
  • 2+ years of research experience with publication record
  • Proven track record of applying machine learning to solve real-world problems
PreferredQualifications:
  • Depth of experience in relevant ML research disciplines
  • Hands on experience in software systems development
  • Experience with one or more of Pytorch, Tensorflow, Jax, or comparable library
  • Experience with Spark, SQL, or comparable database systems
  • Experience using GPUs for accelerated deep learning training
  • Familiarity with cloud computing systems like Azure or AWS
  • Experience in LLM post-training and inference methods
  • Deep understanding of reinforcement learning and its applications to agent training

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


Colleague Development

If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you're passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role.

Interview Process
We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you'd like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.
We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet

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