1

Machine Learning Engineer Intern Jobs in Hamilton, ON

... state machines for interfacing with external applications: * Linux and VxWorks kernels and base ... High-level programming and scripting languages such as Java, Python, Perl, Tcl, bash * YANG ...

AI Engineer

Oakville, ON

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

AI Engineer

Ottawa, ON

CA$77K - CA$117K/yr

Your Opportunity As an experienced AI Engineer , you will design, build, and deploy productiongrade AI solutions that bridge experimental machine learning with scalable software engineering. In this ...

Ph.D. in AI, Machine Learning, DTI, Computer Science, Statistics, Mathematics, Engineering, or a closely related field with a strong focus on AI/ML. Demonstrated industry experience in AI/ML ...

AI Engineer

Ottawa, ON ยท On-site

CA$75K - CA$110K/yr

You will work at the intersection of machine learning and space systems, building AI capabilities ... Strong programming skills in Python * Experience with machine learning frameworks (PyTorch ...

next page

Showing results 1-20

Machine Learning Engineer Intern information

See Hamilton, ON salary details

$22.4K

$117.4K

$209.5K

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

As of Jun 9, 2026, the average yearly pay for machine learning engineer intern in Hamilton, ON is $117,384.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,651.00 and $159,442.00 per year, depending on experience, location, and employer.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

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 job?

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 are the key skills and qualifications needed to thrive in the Machine Learning Engineer Intern position, and why are they important?

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 job categories do people searching Machine Learning Engineer Intern jobs in Hamilton, ON look for? The top searched job categories for Machine Learning Engineer Intern jobs in Hamilton, ON are:
What cities near Hamilton, ON are hiring for Machine Learning Engineer Intern jobs? Cities near Hamilton, ON with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Hamilton, ON as of June 2026, with employment types broken down into 3% As Needed, 90% Full Time, and 7% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,384 per year, or $56.4 per hour.

Research Engineer - Post-training (Co-op / Intern)

Themis Intelligence

Mississauga, ON โ€ข Hybrid

CA$20 - CA$30/hr

Full-time, Internship

Posted 19 days ago


Job description

About Themis Intelligence Themis Intelligence builds the Utility Knowledge Base (UKB) and Human-Guided Intelligence (HGI) platforms, redefining how utilities operate. Our systems transform complex operational data into clear, high-confidence decisions. We design software that empowers grid professionals to think faster, act decisively, and operate with precision in critical environments. Every product we ship is built for real-world performance: reliable, observable, and secure from day one. We are an AI-first organization, continuously applying modern tools and workflows to improve how we plan, execute, and deliver outcomes. ------------------------------- About the Role Weโ€™re looking for a co-op student for a 12-month duration whoโ€™s curious about how LLM agents behave in real-world applicationsโ€”especially when it comes to hallucination, grounding, and evaluation. Youโ€™ll be working on the post-training lifecycle of Themis Agents (e.g., knowledge base assistants, alarm summarizers, and SCADA-aware chatbots), ensuring that models are not only powerful but also accurate and trustworthy. Youโ€™ll contribute to designing and running evaluation frameworks, comparing retrieval strategies, testing prompt chains, and analyzing model behavior across a range of tasks. This is a hands-on, research-oriented role ideal for someone with AI-related coursework and a passion for building better, safer AI systems. ------------------------------- In this role, you will Evaluation & Grounding ย  ยงย ย  Evaluate Themis Agents for accuracy, factual consistency, hallucination, and tool correctness. ย  ยงย ย  Analyze grounding failuresโ€”when models โ€œgo off-scriptโ€ from retrieved knowledge or internal documents. ย  ยงย ย  Score and compare outputs across tasks like Q&A, summarization, and event reasoning. Prompt & Retrieval Testing * Experiment with prompt templates, few-shot examples, and retrieval settings. * Compare vector store search performance using embedding models, chunking strategies, and context window variations. * Run A/B tests across model versions and prompt chains. Tooling & Automation * Build or extend evaluation pipelines in Python and frameworks like LangChain, OpenAI API, or Transformers. * Visualize and organize test results using tools like Streamlit, pandas, or Dash. * Help define โ€œhallucination typesโ€ and build reproducible test suites for failure tracking. ------------------------------- You might thrive in this role if you * Are pursuing a Bachelorโ€™s degree in Computer Science, Engineering, Math, Physics, or a related field. * Have completed coursework in machine learning, natural language processing, or AI systems. * Enjoy debugging model outputs and understanding why a chatbot gave a weird answer. * Have worked on side projects involving chatbots, retrieval-based systems, or LLMs. * Can write clean Python code and think critically about accuracy, context, and grounding. ------------------------------- Bonus Points For * Experience with LangChain, LlamaIndex, or RAG architectures. * Familiarity with evaluation frameworks like lm-eval-harness, RAGAS, or custom harnesses. * Knowledge of vector databases (e.g., Qdrant) and prompt engineering techniques. * Interest in safety, reliability, or interpretability of AI agents. ย  This is a 12-month duration COOP/ Intern hybrid role (four days in-office) reporting directly to the Technology Director. The salary range for this role is $20โ€“$30 per hours. Interested candidates are invited to submit their cover letter and resume. ย  Themis Intelligence values a diverse workplace and strongly encourages women, people of all races, color, creed, ancestry, ethnic origin, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, marital status, family status, and those with disabilities to apply.ย  We use AI tools to help streamline parts of our recruitment process, but every application is reviewed by a member of our team. Themis is an equal opportunity employer. We are committed to providing accommodations for persons with disabilities. If you require accommodation, we will work with you to meet your needs. While we appreciate the interest of all applicants, only those selected for an interview will be contacted.