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Machine Learning Engineer Intern Jobs in Oshawa, ON

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Good understanding of machine learning, natural language processing, and LLM fundamentals.

Autodesk

Machine Learning Ops Developer

Toronto, ON

... Engineer to join our AI/ML Platform team. This role is pivotal in ensuring the smooth operationalization of machine learning models and the overall efficiency of our next-generation AI/ML platform ...

CRB

Mechanical Engineer Intern - Fall

Toronto, ON

At CRB, we believe that learning should be as dynamic as it is engaging, and that work can be both ... As a Mechanical Engineer Intern, you will work under the direction of an assigned mentor to develop ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Oshawa, ON

Machine Learning Engineer Intern information

See Oshawa, ON salary details

$21.7K

$114K

$203.5K

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 Oshawa, ON is $114,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,788.00 and $154,847.00 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 cities near Oshawa, ON are hiring for Machine Learning Engineer Intern jobs?

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

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Oshawa, ON as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,001 per year, or $54.8 per hour.

Staff Machine Learning Engineer - News, Books, and Stocks Team

United States Digital Space LLC

Toronto, ON • On-site

$120 - $180/hr

Other

Posted 12 days ago

Job description

In a time where the news and book media landscapes are changing by the day, the company News and the company Books stand as champions of quality content, expert curation, user privacy, and the judicious use of machine learning. Our lively and brilliant distributed team consists of client and machine learning engineers who embody the company's values. We inspire, teach, and otherwise enable each other to do the best work of our careers! Our team's outstanding retention rate speaks to our strong culture of respect for our teammates as both engineers and people. Would you like to work on such a team, solving hard problems in machine learning? Terrific! Please join us for the next generation of these apps!

Develop datasets, design model architecture, and prompt, train, or fine-tune models.

Partner with multi-functional teams at the intersection of technology and liberal arts to design and implement end-to-end machine learning enabled features.

Drive application features from concept, model design, and development all the way to delivery.

Lead highly cross-functional software projects.

Mentor junior engineers.

Be part of our thriving machine learning community at the company.

Aptitudes souhaitées
  • Experience in a technical leadership role.
Exigences Minimales
  • MS in Machine Learning, Computer Science, or related field. Alternatively, equivalent industry experience to an MS degree is acceptable.
  • At least 5 years of experience shipping machine learning models in products.
  • Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.
  • Experience designing user-facing machine learning features with interdisciplinary partners.
  • Experience with recommender systems.
  • Experience with text-centric AI/ML (LLMs, document classification, search, etc.)
  • Experience delivering high quality software at scale.
  • Ability to communicate effectively and collaborate with partner teams.
  • Commitment to encouraging an open and inclusive work environment.
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