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Control Engineer Intern Jobs in Toronto, ON (NOW HIRING)

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

About Continuum Continuum is an enterprise AI agent execution and control platform designed to help ... We are looking for an AI Engineer Intern interested in building production-ready AI agents and ...

Marvell

Analog Engineer Intern - PhD

Toronto, ON

Participate in lab bring-up and debugging activities under guidance from senior engineers ... S. export control laws and regulations, including the Export Administration Regulations (EAR). As ...

Hitachi

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

  • PTO

Data Modeling & Engineering: Build and maintain robust semantic models for both BI and AI ... control processes for Power BI reports. * Analyzing company datasets for usability and propose ...

WSP

Intern, Business Intelligence

Toronto, ON · On-site

CA$17.50 - CA$28/hr

With an unmatched breadth and depth of engineering, advisory and science-based expertise, our ... $16.50 - $28.00 per hour Disclosure: The final salary awarded for this role may vary from the ...

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All JobsControl Engineer Intern JobsControl Engineer Intern Jobs in Toronto, ON

Control Engineer Intern information

What are the key skills and qualifications needed to thrive as a control engineer intern, and why are they important?

To thrive as a Control Engineer Intern, you need a solid understanding of control systems theory, programming basics (such as MATLAB or Python), and coursework in electrical or mechanical engineering. Familiarity with PLCs, SCADA systems, and simulation software is common, and some internships may look for coursework certifications or lab experience. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate on projects and troubleshoot system issues. These qualifications are essential for contributing to complex automation projects and ensuring reliable, efficient system performance.

What is the difference between Control Engineer Intern vs Control Engineer?

AspectControl Engineer InternControl Engineer
CredentialsTypically pursuing or recently completed a degree in electrical, mechanical, or control engineeringBachelor's or master's degree in engineering, with relevant certifications often preferred
Work EnvironmentInternship setting, often in manufacturing, automation, or industrial facilitiesFull-time professional role in similar environments with increased responsibilities
ResponsibilitiesAssisting with control system design, testing, and troubleshooting under supervisionDesigning, implementing, and maintaining control systems independently or as part of a team

The main difference between a Control Engineer Intern and a Control Engineer is experience level and responsibility. Interns are in learning roles, assisting with tasks under supervision, while Control Engineers are fully responsible for designing and managing control systems in professional settings.

What does a control engineer intern do?

A Control Engineer Intern assists in designing, implementing, and testing control systems that help machines and processes operate efficiently and safely. They typically work under the supervision of experienced control engineers, supporting tasks such as programming PLCs (Programmable Logic Controllers), developing automation solutions, and troubleshooting control equipment. Interns may also help with data analysis, documentation, and collaboration with other engineering teams to optimize system performance. This role provides hands-on experience in industrial automation and control engineering.

Are control engineer interns in demand?

Control engineer internships are in demand as companies seek interns with knowledge of automation, control systems, and programming languages like PLCs and SCADA. These internships provide valuable experience in industries such as manufacturing, energy, and robotics, and demand often correlates with industry growth and technological advancements.

How to become a control engineer intern with no experience?

To become a control engineer intern with no experience, focus on gaining foundational knowledge in control systems, automation, and programming through online courses or coursework. Developing skills in tools like MATLAB, Simulink, or PLC programming and pursuing relevant certifications can improve your chances; internships often value enthusiasm and willingness to learn alongside technical skills.

What types of projects and responsibilities can a control engineer intern expect to work on during their internship?

As a Control Engineer Intern, you can expect to assist in designing, testing, and troubleshooting control systems for automated equipment or processes. Interns commonly contribute to project tasks such as PLC programming, developing and simulating control algorithms, and supporting system integration under the guidance of senior engineers. You'll likely work closely with multidisciplinary teams, including mechanical, electrical, and software engineers, gaining exposure to real-world industrial automation challenges. This hands-on experience is valuable for building technical skills and understanding how control systems are implemented in practice.

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

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

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

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

Control Engineer Intern jobs near you

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 26 days ago

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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