ZipRecruiter

Log In

1

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

Bits In Glass

Intern

Toronto, ON · On-site +1

Remote/Hybrid Description As a ML Developer Intern you will work closely with the ML Developers and ... Assess model performance and reliability and make tradeoffs against quality metrics * Prepare ...

Perseus Group

Software Developer Intern

Markham, ON

CA$22.50 - CA$27.50/hr

The Software Developer Intern works in a Scrum team to build high-performing, resilient, and ... Evaluate the quality and reliability of AI-assisted output against real coding tasks; iterate to ...

Alstom

Engineering Intern (Fall 2026)

Toronto, ON · On-site

Could you be the full-time Engineering Intern (Fall 2026) in Willowbrook we're looking for? Job ... Proposing equipment modifications to improve safety, customer experience, and reliability

Cargill

Engineering Intern

Guelph, ON · On-site

... reliability principles and practices, and plant process and equipment improvements. * Work with a ... As an intern, youll have access to a wide variety of programs to support you and help you succeed

IKO Industries, Inc

HSE Engineering Co-Op

Milton, ON · On-site

CA$23.50 - CA$26.50/hr

Shadow Maintenance Manager to create SOPs and SWIs * Assist the Reliability Engineer with a complete review of all current Preventative (PM) and Predictive (PdM) maintenance activities, developing ...

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

Reliability Engineer Intern information

See Toronto, ON salary details

$20.5K

$82.5K

$167.5K

How much do reliability engineer intern jobs pay per year?

As of Sep 1, 2026, the average yearly pay for reliability engineer intern in Toronto, ON is $82,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,559.00 and $116,906.00 per year, depending on experience, location, and employer.

What does a reliability engineer intern do?

A Reliability Engineer Intern works under the guidance of experienced reliability engineers to analyze and improve the performance, durability, and safety of products or systems. Their tasks often include collecting and analyzing data on equipment failures, assisting in root cause analysis, and helping to develop maintenance plans or reliability testing procedures. Interns may also be involved in projects that focus on increasing the lifespan of equipment and minimizing downtime. This role provides hands-on experience with reliability tools and techniques, preparing interns for a career in reliability engineering.

What types of projects and responsibilities can a reliability engineer intern expect to handle during their internship?

As a Reliability Engineer Intern, you can expect to work closely with senior engineers on projects involving data analysis, equipment reliability assessments, and root cause investigations for equipment failures. Your daily tasks may include collecting and analyzing downtime data, assisting in preventive maintenance planning, and participating in team meetings to discuss ongoing reliability initiatives. Interns often have the opportunity to collaborate with cross-functional teams such as maintenance, operations, and engineering, gaining exposure to various aspects of plant operations. This hands-on experience provides valuable insight into the methods used to improve equipment performance and overall system reliability.

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

To thrive as a Reliability Engineer Intern, you need a solid grounding in engineering fundamentals, data analysis, and problem-solving, typically supported by progress toward a relevant engineering degree. Familiarity with reliability modeling tools, statistical analysis software like Minitab or MATLAB, and maintenance management systems is often expected. Strong attention to detail, effective communication, and teamwork skills help you collaborate with engineers and convey technical findings. These competencies are critical for identifying failure risks, improving system performance, and supporting organizational reliability goals.

What is the difference between Reliability Engineer Intern vs Maintenance Engineer?

AspectReliability Engineer InternMaintenance Engineer
CredentialsTypically pursuing or recent graduate in engineering or related fieldRelevant technical certifications or experience in maintenance
Work EnvironmentOffice and field, focusing on data analysis and reliability testingIndustrial or plant settings, performing repairs and preventive maintenance
Industry UsageUsed in manufacturing, energy, and industrial sectors for reliability projectsCommon in manufacturing, facilities management, and industrial plants
Search IntentComparing internship roles, entry-level opportunities, or career pathsLooking for maintenance roles, technical jobs, or career development

Reliability Engineer Interns focus on analyzing data, improving system reliability, and supporting reliability projects, often in an office or testing environment. Maintenance Engineers perform hands-on repairs and preventive maintenance in industrial settings. While both roles support operational efficiency, the intern role is more analytical and project-based, whereas the maintenance role is more technical and hands-on.

Are reliability engineer interns in demand?

Reliability engineer interns are in demand as companies seek to improve product and system performance through early-career talent. Internships in this field often lead to full-time roles, especially in industries like manufacturing, energy, and technology that prioritize system reliability and maintenance skills. Knowledge of data analysis, failure modes, and reliability tools such as FMEA or RCM can enhance employability.

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

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

What job categories do people searching Reliability Engineer Intern jobs in Toronto, ON look for?

The top searched job categories for Reliability Engineer Intern jobs in Toronto, ON are:

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

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

Reliability Engineer Intern jobs near you
Infographic showing various Reliability Engineer Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,544 per year, or $39.7 per hour.

Intern

Bits In Glass

Toronto, ON • On-site, Remote

Internship

Posted 8 days ago

Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

Apply