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Machine Learning Engineer Intern Jobs in Toronto, ON

We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring ... Experience fine-tuning LLMs for specific learning tasks Experience deploying full-stack features to ...

Principal Machine Learning Engineer

Toronto, ON · Remote

  • Medical

  • Life

  • Retirement

  • PTO

Job Summary As a Principal Machine Learning Engineer, you will design, build, deploy, and scale machine learning and generative AI systems that power real-world products. You will work closely in AI ...

Senior Machine Learning Engineer

Toronto, ON · Remote

$196K - $265K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior Machine Learning Engineer At EvenUp, we leverage cutting-edge AI to bring fairness and accessibility to the legal system. Tackling the most complex legal document challenges requires expertise ...

Staff Machine Learning Engineer

Toronto, ON · Remote

$212K - $301K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Join EvenUp as a Staff Machine Learning Engineer and help set the technical direction for how machine learning powers Piai™, our proprietary claims-intelligence platform. This is a technical ...

Master's or PhD in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a closely related technical discipline. * Minimum of 5 years of professional experience developing ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Showing results 21-40

Machine Learning Engineer Intern information

See Toronto, ON salary details

$21.9K

$115.2K

$205.7K

How much do machine learning engineer intern jobs pay per year?

As of Aug 16, 2026, the average yearly pay for machine learning engineer intern in Toronto, ON is $115,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,463.00 and $156,511.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Toronto, ON?

The most popular types of Machine Learning Engineer jobs in Toronto, ON are:

What are popular job titles related to Machine Learning Engineer Intern jobs in Toronto, ON?

For Machine Learning Engineer Intern jobs in Toronto, ON, the most frequently searched job titles are:

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

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

What cities near Toronto, ON are hiring for Machine Learning Engineer Intern jobs?

Cities near Toronto, ON with the most Machine Learning Engineer Intern job openings:

Infographic showing various Machine Learning Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,226 per year, or $55.4 per hour.

Machine Learning Engineer

Adobe

Toronto, ON • On-site

Full-time

Posted 12 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 244 rated software companies


Job description

AI-powered Recommendations, Search, and Generative AI-based guidance is a core part of Adobe's Cloud offering. Adobe Cloud enables customers to create and generate digital content, and Digital experiences. The Search, Discovery, and Content AI Team drives customer success for Adobe Express, Creative Cloud, and Document Cloud. Creative professionals and novice users need the quick discovery of digital assets from brushes to colors, images, videos, and beyond. They also need AI-powered assistance to discover the ingredients needed to complete their creative journey at scale.

We are building next-generation Agentic Recommendation features across Adobe's product lines. This includes novel context-based recommendations for creation tasks, full-stack features like developing creative artifacts from user input (e.g., user images, documents or QR codes), and next-generation content intelligence powering these features using personalization, style understanding, and innovative retrieval of assets at scale.

How can you participate?

We focus on developing innovative AI-powered search, recommendations, and assistive experiences using generative AI technologies across all modalities, including text, image, and videos, and create industry-leading experiences to improve creative efficiency for creators, marketers, and designers. We're in search of an exceptional ML engineer with extensive experience in suggesting, exploring, and creating inventive AI technologies. This is an opportunity to make a huge impact in a fast-paced environment in a great company. Join us!

Expectations :

Research, develop and implement ML models and Search infrastructure for recommendation and retrieval use cases

Background in recommendations and search. Knowledge of bandits, NLP, and/or content intelligence models.

Proficiency in Python. Additional experience in Java preferred.

Experience fine-tuning LLMs for specific learning tasks

Experience deploying full-stack features to users in the areas of recommendations and/or search

Develop robust methods to evaluate features using LLMs, ensuring ethical AI practices that reflect Adobe's standards

Masters' degree or PhD in computer science, statistics, engineering, or other relevant subject area highly preferred

3+ years of relevant experience required

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.


What Adobe employees say

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982