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Research Engineer Intern Jobs in Ontario (NOW HIRING)

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 ... Ability to research complex technical problems, experiment with different approaches, and clearly ...

GHD is currently seeking an Intern to work with our groups on projects related to Environment ... Conducting research related to projects * Preparing documentation, including funding applications ...

Trend Micro Research is seeking a Malware Research Intern to join our industry-leading research ... Reverse-engineer malware samples to identify malware communication mechanisms and analyze malware ...

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python ...

Trend Micro Research Center is seeking a Vulnerability Research Intern to join our industry-leading ... Currently enrolled in a post-secondary program in Computer Science, Computer Engineering ...

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Research Engineer Intern information

See Ontario salary details

$10

$37

$79

How much do research engineer intern jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for research engineer intern in Ontario is $37.10, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $48.08 per hour, depending on experience, location, and employer.

What does a research engineer intern do?

A Research Engineer Intern assists in the development, testing, and analysis of new technologies, products, or processes under the guidance of senior engineers and researchers. Their work may involve conducting experiments, collecting and analyzing data, building prototypes, and documenting results. The role is typically hands-on and collaborative, offering interns the chance to apply theoretical knowledge from their studies to real-world engineering problems. Research Engineer Interns also gain valuable experience with industry tools and methodologies, and often contribute to ongoing research projects. This position is ideal for students or recent graduates seeking practical experience in engineering research.

What are the key skills and qualifications needed to thrive as a research engineer intern?

To thrive as a Research Engineer Intern, you generally need a solid background in engineering principles, data analysis, and problem-solving, typically supported by progress toward a relevant STEM degree. Familiarity with technical tools such as MATLAB, Python, simulation software, and laboratory equipment is often required. Strong communication, initiative, and teamwork skills help interns effectively contribute to research projects and collaborate with senior engineers. These skills and qualities are crucial for applying theoretical knowledge to practical challenges and making meaningful contributions in a research-driven environment.

What types of projects can a research engineer intern expect to work on, and how much autonomy is typically given?

As a Research Engineer Intern, you can expect to work on a range of projects that may include developing prototypes, running experiments, or analyzing large datasets to support ongoing research initiatives. Interns often collaborate closely with experienced engineers and researchers, and while tasks may start with guidance, you’ll likely gain more autonomy as you demonstrate your abilities. Many organizations encourage interns to take ownership of a specific component or project deliverable, providing both mentorship and the opportunity to contribute meaningfully to published research or product development.

What are the most commonly searched types of Research Engineer jobs in Ontario?

The most popular types of Research Engineer jobs in Ontario are:

What are popular job titles related to Research Engineer Intern jobs in Ontario?

For Research Engineer Intern jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Research Engineer Intern jobs?

Cities in Ontario with the most Research Engineer Intern job openings:

Infographic showing various Research Engineer Intern job openings in Ontario as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $77,161 per year, or $37.1 per hour.

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Re-posted yesterday


Job description

About ShyftLabs

At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth through innovative digital solutions that drive real business impact. With teams across Canada, the U.S., and India, we're growing quickly and looking for curious, motivated individuals who are excited to learn, build, and solve meaningful problems with technology.

About Continuum

Continuum is an enterprise AI agent execution and control platform designed to help teams build, run, and deploy reliable agentic applications. It provides agent orchestration, multi-model routing, persistent memory, tool integration, durable workflows, governance, guardrails, evaluation, and observability.

We are looking for an AI Engineer Intern interested in building production-ready AI agents and applications. You will contribute to the Continuum platform while also using it to build agentic applications for real enterprise use cases.

This is a hands-on engineering role. You will work across agent orchestration, memory systems, model optimization, retrieval, tools, guardrails, evaluation, and application development.

What You'll Be Doing
  • Build and improve agent orchestration and multi-agent workflows.

  • Develop agentic applications for enterprise use cases using Continuum.

  • Work with different commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, Qwen, Mistral, and others.

  • Improve intelligent model routing based on task complexity, quality, latency, and cost.

  • Build persistent memory and state-management capabilities for long-running agent workflows.

  • Develop tool-calling functionality and integrations with APIs, databases, and enterprise systems.

  • Work with MCP servers and function tools to connect agents with external services.

  • Design context-engineering and retrieval pipelines using vector and graph databases.

  • Implement AI guardrails for safety, security, access control, data privacy, and policy enforcement.

  • Create evaluation pipelines to measure accuracy, groundedness, hallucination, tool usage, workflow completion, latency, and cost.

  • Improve the observability and traceability of agent decisions, tool calls, and workflow execution.

  • Optimize prompts, model usage, token consumption, response time, and infrastructure costs.

  • Build APIs, backend services, and user-facing prototypes for agentic applications.

  • Write clean, reusable, well-tested, and documented Python code.

  • Contribute to Continuum's open-source codebase, examples, documentation, and developer experience.

What We Are Looking For
  • Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.

  • Strong programming skills in Python.

  • Good understanding of machine learning, natural language processing, and LLM fundamentals.

  • Experience building at least one LLM-powered or agentic application.

  • Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs.

  • Experience working with APIs, Git, databases, and standard software engineering practices.

  • Ability to research complex technical problems, experiment with different approaches, and clearly communicate results.

  • Strong interest in building reliable AI systems, not just basic LLM demos

Nice to Have
  • Experience with agent frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, or similar technologies.

  • Familiarity with OpenAI, Anthropic, Gemini, AWS Bedrock, or open-source models.

  • Experience with vector databases such as Milvus, Pinecone, Weaviate, or Chroma.

  • Experience with graph databases such as Neo4j.

  • Knowledge of PostgreSQL, Redis, Docker, Kubernetes, or cloud infrastructure.

  • Familiarity with AI observability and evaluation tools such as Langfuse.

  • Understanding of multi-tenancy, identity management, authorization, or enterprise security.

  • Experience with model routing, inference optimization, prompt compression, or cost optimization.

  • Contributions to open-source AI projects, research, hackathons, or technically strong personal projects.

Hourly Pay
  • $20 - $30/Hr (CAD)
Why You'll Love Working at ShyftLabs
 
At ShyftLabs, your work matters. We're a growing data product company making a big impact with Fortune 500 clients and as we scale, you'll have the chance to shape solutions, influence strategy, and grow your career alongside us.
 
Here's what you can expect when you join our team:
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office.
-Downtown Toronto Office: Work in the heart of the city.
-Growth & Learning: Access extensive learning and development resources to keep leveling up your skills.
 
Inclusion at ShyftLabs
 
We're building something big, and we want you on the journey with us. If you're ready to use data and innovation to make an impact, apply today and let's grow together.
 
ShyftLabs is an equal-opportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and we'll be happy to support you.
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