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Deep Learning Intern Jobs in Ontario (NOW HIRING)

Acceldata

Field Engineering Co-Op

Kitchener, ON

CA$20 - CA$30/hr

... deep infrastructure and data observability challenges. You'll get to: * Shadow and contribute to ... WHY INTERN WITH US * Gain valuable experience at a fast-growing tech startup in Canada. * Work ...

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. ... Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ...

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All JobsDeep Learning Intern JobsDeep Learning Intern Jobs in Ontario

Deep Learning Intern information

See Ontario salary details

$9

$54

$96

How much do deep learning intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for deep learning intern in Ontario is $54.11, according to ZipRecruiter salary data. Most workers in this role earn between $34.13 and $76.44 per hour, depending on experience, location, and employer.

What types of projects can a deep learning intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What skills and qualifications are needed to thrive as a deep learning intern?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What does a deep learning intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.
What are the most commonly searched types of Deep Learning jobs in Ontario? The most popular types of Deep Learning jobs in Ontario are:
What are popular job titles related to Deep Learning Intern jobs in Ontario? For Deep Learning Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Deep Learning Intern jobs in Ontario look for? The top searched job categories for Deep Learning Intern jobs in Ontario are:
What cities in Ontario are hiring for Deep Learning Intern jobs? Cities in Ontario with the most Deep Learning Intern job openings:
Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $112,547 per year, or $54.1 per hour.

Portfolio Building Project Placement

ventureLAB

Markham, ON • On-site

Other

Re-posted 19 days ago

Job description

ventureLAB is a leading global founder community for hardware technology and deep tech companies in Canada. Located at the heart of Ontario’s innovation corridor in York Region, we sit within one of the largest and most diverse tech ecosystems in the country. Through our targeted initiatives focused on enabling IP-rich Canadian startups to commercialize transformative innovations, we have enabled thousands of founders to create over 7,800 jobs and raise more than $530 million in investment capital. At ventureLAB, we are proud to power hardtech founders building globally competitive ventures that advance Canada’s knowledge-based economy. As an intern, you will be right at the center of this innovation, helping us share these incredible stories of growth and scale with the world.
 

Duration: 4-Month or 8-Month

Target Start Date:  June 2026 

Location: Markham, Ontario 

Project Summary:

This initiative is structurally designed as an introductory, early-career learning pathway. The scope of work is tailored specifically for current students completing college field placements, community volunteers tracking hours for their Co-Curricular Record (CCR), and recent graduates (within 12 months) establishing a baseline professional portfolio. It is not scaled or compensated for established marketing professionals or independent corporate consultants.

Project Charter:

 
  • Research, plan, and produce a distinct multimedia campaign package consisting of a set number of vertical and horizontal video assets (such as an isolated series for Reels, TikTok, YouTube, or LinkedIn) alongside a corresponding set of high-impact, brand-aligned graphic assets (carousels, thumbnails) using Canva, CapCut, Premiere, or Adobe Creative Suite.
  • Conduct a structural audit and execute a comprehensive reorganization of ventureLAB's shared media cloud drives—building an optimized, categorized archive framework for raw footage, audio files, and design templates to streamline collaborative production workflows. 
 
  • Researching and building a 30-day standalone 'Ecosystem Campaign Playbook', including high-conversion copy templates and structural LinkedIn layouts that ventureLAB can utilize for future startup cohorts. 
 
  • Developing a reusable template library and drafting three (3) specific founder success case studies to be added to ventureLAB’s permanent digital portfolio archive.
 
  • Designing and executing an Audience Engagement Case Analysis spreadsheet tool, mapping historical channel growth metrics to help optimize ventureLAB's future campaign structures. 

What We Offer:

  • Direct mentorship from seasoned marketing, PR, and tech ecosystem professionals.
  • An inclusive, agile, and innovative hybrid corporate culture.

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