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Deep Learning Intern Jobs in Ontario (NOW HIRING)

Jackson-Triggs Winery

Harvest Intern

Niagara Falls, ON · On-site

CA$18.50 - CA$25.50/hr

ROLE : Harvest Intern LOCATION : Inniskillin Estate Winery, NOTL START : September 2026 END ... harvest with a deep, practical understanding of the craft. Who You Are: * A Self-Motivated ...

Jackson-Triggs Winery

Harvest Intern

Niagara Falls, ON · On-site

CA$18.50 - CA$25.50/hr

ROLE : Harvest Intern LOCATION : Inniskillin Estate Winery, NOTL START : September 2026 END ... harvest with a deep, practical understanding of the craft. Who You Are: * A Self-Motivated ...

Teamwass

Intern, Sponsorship Consulting

Toronto, ON · Hybrid

CA$17.60/hr

Strong analytical skills with the ability to dive deep into research and deliver relevant findings ... Participation in THETEAM's 'All Pro' learning & development programs, gaining insights into all ...

WSP

Intern, Structural Engineering

Toronto, ON · On-site

CA$22.50 - CA$30.25/hr

Curiosity and enthusiasm for learning in a fastpaced, projectdriven environment * Interest or ... We pair deep local knowledge with global insights to pioneer solutions designed to leave a lasting ...

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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 Jun 26, 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 are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

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.

Which 5 jobs will survive AI?

Deep Learning Interns and other roles involving complex problem-solving, creativity, and emotional intelligence are likely to persist despite AI advancements. Jobs that require human judgment, interpersonal skills, and domain expertise—such as healthcare professionals, educators, skilled trades, researchers, and managers—are less susceptible to automation. Continuous learning and adapting to new tools like AI and machine learning are essential for job security in these fields.

Is 20 dollars an hour good for an internship?

For a Deep Learning Intern, $20 an hour is generally considered competitive, especially for entry-level positions that may require basic programming skills in Python and familiarity with machine learning frameworks. Internships often pay between minimum wage and $25 per hour, depending on the company, location, and required skills. Factors such as workload, learning opportunities, and industry standards should also be considered when evaluating compensation.

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.

Is ML a high paying job?

Machine Learning (ML) roles, including positions like Deep Learning Interns, tend to offer competitive salaries due to high demand for specialized skills such as programming, data analysis, and knowledge of frameworks like TensorFlow or PyTorch. Entry-level positions may have lower pay, but experienced ML professionals often earn above average salaries in the tech industry.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs at the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as consulting, audit, tax, and advisory, providing valuable experience for students pursuing careers in finance, accounting, and consulting. For a Deep Learning Intern, these firms may offer opportunities in technology consulting or data analytics, often requiring strong technical skills and relevant coursework.
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 June 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $112,547 per year, or $54.1 per hour.
Machine Learning Intern - Bachelor's Degree

Machine Learning Intern - Bachelor's Degree

Marvell

Toronto, ON • On-site

Full-time

Posted 10 days ago

Job description

About Marvell

Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.

At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.

This is an existing vacancy.

Your Team, Your Impact

We are looking for a talented and enthusiastic candidate to join our Machine Learning team. Our team at Marvell is designing and developing high-throughput, low-latency Accelerator IPs for deep learning training and inference.
As a student AI engineer, you will be working in close collaboration with the Data Scientists within the ML team and you will be involved in modeling and simulating the most recent cutting edge deep learning algorithms for the Accelerator IP currently under development. You'll also have the opportunity to develop a deep understanding of new topics and approaches in AI by implementing them and by running performance analysis.

What You Can Expect

Responsibilities

  • In collaboration with the Data Scientists, model and run performance analysis of different deep learning architectures for the Rianta proprietary hardware design.
  • Running different deep learning benchmarks on other hardware such as CPU, and GPU.
  • Modeling deep learning operations of the Accelerator under development, e.g. convolution, matrix multiplication, pooling layers, back-propagation and running
  • performance analysis.
  • Investigate and comprehend related technical reports and research papers.
  • Writing technical reports on the various experiments that you performed.

What We're Looking For

Qualifications

  • Currently enrolled in a university and registered with the school's co-op program (Master or Ph.D. are preferred).
  • Concrete programming skills in Python, C++.
  • Be familiar with high performance computing, distributed processing, algorithm and data structures.
  • Be familiar with fundamental deep learning concepts and machine learning algorithms.
  • Be familiar with fundamental computer hardware architecture and multi-core processors.
  • Demonstrate strong communication skills

Preferred Qualifications:

  • Experience with deep learning frameworks such as Tensorflow and PyTorch.
  • Very familiar with the Linux development environment.
  • Familiar with linear algebra algorithms such as matrix factorization, SVD

Expected Base Pay Range (CAD)

36 - 48, $ per hour.

Additional Compensation and Benefit Elements

With competitive compensation and great benefits, you will enjoy our workstyle within an environment of shared collaboration, transparency, and inclusivity. We're dedicated to giving our people the tools and resources they need to succeed in doing work that matters, and to grow and develop with us. For additional information on what it's like to work at Marvell, visit our Careers page.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

Interview Integrity

To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.

These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.

This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.

Marvell may employ artificial intelligence technologies to assist in the evaluation of job applications. All application reviews include meaningful human involvement, and no hiring decisions are made solely on the basis of automated processing.

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