ZipRecruiter

Log In

1

Control 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 ...

WSP

Intern, Business Intelligence

Toronto, ON · On-site

CA$17.50 - CA$28/hr

As an Intern, Business Intelligence, you'll gain hands-on experience working with data, analytics ... $16.50 - $28.00 per hour Disclosure: The final salary awarded for this role may vary from the ...

Environics Analytics

Data Development Intern

Toronto, ON · On-site

$30/hr

Role Objective: The Data Development Intern plays a central role in building, maintaining, and ... Build automated QC checks and validation logic to catch anomalies and inter-vintage inconsistencies ...

New

previous pagenext page

Showing results 21-40

All JobsControl Intern JobsControl Intern Jobs in Toronto, ON

Control Intern information

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

To thrive as a Control Intern, you need a solid understanding of control systems, engineering fundamentals, and data analysis, often supported by coursework in electrical or mechanical engineering. Familiarity with technical tools like PLC programming software, SCADA systems, and Microsoft Excel is typically required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These skills are crucial for accurately supporting control projects, troubleshooting issues, and collaborating with engineering teams.

What is the difference between Control Intern vs Control Technician?

AspectControl InternControl Technician
Required CredentialsTypically pursuing or holding a relevant degree or certificationRelevant technical certifications and experience often required
Work EnvironmentInternship setting, learning-focused, supervisedFull-time, hands-on technical environment, independent tasks
Employer & Industry UsageUsed in manufacturing, energy, and industrial sectors for trainingCommon in industrial plants, power generation, and manufacturing

The Control Intern role is primarily an entry-level, learning position aimed at gaining experience in control systems. In contrast, the Control Technician is a more experienced, hands-on role responsible for maintaining and troubleshooting control systems. While both roles require some technical knowledge, Control Interns focus on learning and supporting, whereas Control Technicians perform operational tasks independently.

What is a control intern?

Control Interns are students or recent graduates who work under the supervision of control engineers or professionals in control systems departments. Their primary responsibilities include assisting with the design, testing, and maintenance of control systems, which are used to manage processes and machinery in industries like manufacturing, energy, or automation. Control Interns gain practical experience in programming, troubleshooting, and system analysis, often using tools like PLCs (Programmable Logic Controllers) and SCADA (Supervisory Control and Data Acquisition) systems. This role helps interns develop technical skills and gain insight into the daily operations of control engineering teams.

What types of projects and responsibilities can a control intern expect during their internship?

As a Control Intern, you can expect to work on a variety of projects that may include assisting with process control system design, conducting data analysis to improve operational efficiency, and supporting troubleshooting activities for automation equipment. Interns often collaborate closely with experienced engineers, participate in team meetings, and contribute to documentation or system testing. This role offers hands-on exposure to industrial control systems and provides valuable experience in both technical and teamwork skills, preparing you for future roles in automation or control engineering.
Control Intern jobs near you

AI Engineer Intern

ShyftLabs

Toronto, ON • Hybrid

CA$20 - CA$30/hr

Internship

Posted 23 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.
apply for this job

Apply