1

Computer Science Research Intern Jobs in Toronto, ON

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Qualifications: - Masters/PhD in machine learning, computer science, engineering, or a related ...

Research Scientist, Learnable Planner

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

Qualifications: - MS/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ... research projects, and papers at top conferences. - Strong quantitative background and coursework ...

We are in search of passionate Research Scientists with a specialization in Computer Vision to propel our mission forward. If you are eager to deploy your advanced skills to disrupt and redefine the ...

Research Machine Learning Scientist

Toronto, ON · On-site

CA$140K - CA$250K/yr

PhD or Master's degree in Computer Science, Statistics, Mathematics, Engineering or a related field * Strong background in machine learning and deep learning * 2+ years of research experience with ...

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

Researching and gathering information. * Reviewing and analyzing work products including plan data ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

Researching and gathering information. * Reviewing and analyzing work products including plan data ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Information Security Intern Department: Information Technology Location: 6300 Steeles Ave West ... Computer Science, or a related field. * Basic understanding of information security principles and ...

next page

Showing results 1-20

Computer Science Research Intern information

See Toronto, ON salary details

$13.8K

$58.2K

$139.8K

How much do computer science research intern jobs pay per year?

As of Jul 17, 2026, the average yearly pay for computer science research intern in Toronto, ON is $58,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,493.00 and $69,666.00 per year, depending on experience, location, and employer.

What does a Computer Science Research Intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What are the typical responsibilities of a Computer Science Research Intern during a project cycle?

As a Computer Science Research Intern, you’ll often be involved in conducting literature reviews, designing and implementing experiments, collecting and analyzing data, and presenting your findings to the research team. Interns frequently collaborate with senior researchers and other interns, participate in regular meetings, and may contribute to academic papers or technical documentation. This hands-on role provides valuable exposure to the research process in a professional setting, helping you build both technical and communication skills.

What are the key skills and qualifications needed to thrive as a Computer Science Research Intern, and why are they important?

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.
What are the most commonly searched types of Computer Science Research jobs in Toronto, ON? The most popular types of Computer Science Research jobs in Toronto, ON are:
Infographic showing various Computer Science Research Intern job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $58,224 per year, or $28 per hour.

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

Themis Intelligence

Mississauga, ON • Hybrid

CA$20 - CA$30/hr

Full-time, Internship

Re-posted 27 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 We’re looking for a co-op student for a 12-month duration who’s curious about how LLM agents behave in real-world applications—especially when it comes to hallucination, grounding, and evaluation. You’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. You’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   §   Evaluate Themis Agents for accuracy, factual consistency, hallucination, and tool correctness.   §   Analyze grounding failures—when models “go off-script” from retrieved knowledge or internal documents.   §   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 “hallucination types” and build reproducible test suites for failure tracking. ------------------------------- You might thrive in this role if you * Are pursuing a Bachelor’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.   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 $20–$30 per hours. Interested candidates are invited to submit their cover letter and resume.   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.  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.