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Detection Engineer Jobs in Ontario (NOW HIRING)

Magna

AI Engineer

Newmarket, ON · On-site

CA$92K/yr

Integrate computer vision for real-time defect detection, part verification, and surface inspection. * Collaborate with controls engineers to enhance existing PLC - robot communication for smarter ...

THOMSON REUTERS

Lead AI Forward Engineer

Toronto, ON · Remote

Develop automated guardrails and policy enforcement (e.g., limits, anomaly detection, abuse/failure pattern detection) with cloud engineering and security teams. Cross Functional Partnership and ...

Sun Life Financial

AI Engineer

Toronto, ON · On-site

We are looking for a ML/ AI engineer that will help us in creating new AI solutions for automating ... Create automated anomaly detection systems and constant tracking of its performance for various use ...

Sun Life Financial

AI Engineer

Toronto, ON · On-site

We are looking for a ML/ AI engineer that will help us in creating new AI solutions for automating ... Create automated anomaly detection systems and constant tracking of its performance for various use ...

Intouch Insight

Lead, IT, DevOps & Security

Kanata, ON · On-site

As Lead, IT, DevOps & Security, you will lead the execution and expansion of our SOC 2 program ... Security posture: reduced risk through automated detection, timely remediation, and enforced policy.

Intouch Insight

Lead, IT, DevOps & Security

Kanata, ON · On-site +1

CA$110K - CA$140K/yr

As Lead, IT, DevOps & Security, you will lead the execution and expansion of our SOC 2 program ... Security posture: reduced risk through automated detection, timely remediation, and enforced policy.

Intouch Insight

Lead, IT, DevOps & Security

Kanata, ON · On-site

CA$110K - CA$140K/yr

As Lead, IT, DevOps & Security , you will lead the execution and expansion of our SOC 2 program ... Security posture: reduced risk through automated detection, timely remediation, and enforced policy.

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All JobsDetection Engineer JobsDetection Engineer Jobs in Ontario

Detection Engineer information

See Ontario salary details

$11K

$156.4K

$192.5K

How much do detection engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for detection engineer in Ontario is $156,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $172,500.00 per year, depending on experience, location, and employer.

What does a detection engineer do?

A Detection Engineer is responsible for identifying, analyzing, and mitigating security threats by developing detection rules, monitoring security systems, and responding to potential incidents. They work with security tools like SIEMs, EDRs, and IDS/IPS to detect malicious activity and improve threat detection capabilities. Additionally, they collaborate with security teams to enhance defensive strategies and automate detection processes.

What kind of projects or tasks does a detection engineer typically work on?

As a Detection Engineer, you can expect to work on designing, implementing, and refining security detection strategies to identify potential threats and vulnerabilities in company systems. Daily responsibilities often include developing detection logic, analyzing security alerts, conducting threat hunting exercises, and collaborating with incident response teams. You may also work closely with other cybersecurity professionals to evaluate the effectiveness of existing security measures and recommend improvements. This dynamic environment offers opportunities to work on complex technical challenges while directly contributing to the organization’s overall security posture.

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

To thrive as a Detection Engineer, you need strong analytical skills, a solid understanding of cybersecurity principles, and experience with threat detection and response, often supported by a degree in computer science or a related field. Proficiency with security information and event management (SIEM) tools, intrusion detection/prevention systems, and certifications like GIAC or CISSP are commonly required. Attention to detail, proactive problem-solving abilities, and effective communication enhance effectiveness in this role. These skills are crucial as Detection Engineers must accurately identify security threats, collaborate with teams, and minimize potential risks to the organization.

What are the most commonly searched types of Detection Engineer jobs in Ontario? The most popular types of Detection Engineer jobs in Ontario are:
What are popular job titles related to Detection Engineer jobs in Ontario? For Detection Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Detection Engineer jobs in Ontario look for? The top searched job categories for Detection Engineer jobs in Ontario are:
Detection Engineer jobs near you
Infographic showing various Detection Engineer job openings in Ontario as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $156,399 per year, or $75.2 per hour.

AI Engineer

Magna

Newmarket, ON • On-site

CA$92K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job descriptions may display in multiple languagesbased on your language selection.

What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is an innovative leader in the development and manufacturing of high quality complete seating systems. Our solution includes seating structures, mechanisms and hardware, as well as foam and trim products for global automotive, heavy truck and bus industries. Our capabilities include market and consumer research; full concept development; design and engineering capabilities; testing, validation and world-class manufacturing. Our award-winning seating solutions are developed from consumer research, finding the ease of operation to be comfortable, convenient and connected.

Job Responsibilities:

Duties and Responsibility:

  • Starting at $92,000/ annually.
  • Immediate, open position.
  • Develop and deploy AI-based automation systems for robotic assembly, welding, and material handling lines.
  • Integrate computer vision for real-time defect detection, part verification, and surface inspection.
  • Collaborate with controls engineers to enhance existing PLC - robot communication for smarter decision-making.
  • Analyze production data (cycle times, scrap rates, downtime) to identify root causes and optimize line efficiency.
  • Build data pipelines connecting shopfloor (robots, PLCs, and sensors) to AI analytics platforms (Edge or Cloud).
  • Develop Power BI dashboards to visualize KPIs such as OEE, throughput, and quality trends.
  • Support continuous improvement initiatives with AI-assisted process tuning.
  • Implement predictive maintenance solutions using vibration, current, or temperature sensor data from robotic, compressor and other equipment.
  • Participate in internal audits (ITGC, MAFACT, IATF) and maintain accurate documentation and change management system/control
  • Available to respond to and resolve off hour inquiries and emergencies.
  • Maintains familiarity with current technologies and future trends.
  • Other duties as assigned by a supervisor or Manager
  • Must comply with all ISO 14001 (Environmental) and OHSAS 18001 (Health and
  • Safety) systems and standards as it pertains to their work
  • Adhere to the IATF16949 Standard as required
  • Abide by all AODA and C-TPAT procedures that apply to the position

Performance Measurement:

  • Enhance product quality via real-time defect detection.
  • Optimize robotic workflows and material handling paths.
  • Reduce unplanned downtime with predictive maintenance.

Skills and Qualifications:

  • Bachelor or Masters degree in Mechatronics, Automation, Computer Engineering, or Industrial Engineering.
  • 3+ years of experience in automotive manufacturing or a high-volume industrial automation environment.
  • Hands-on experience with PLC, industrial robots, IoT sensors
  • Proficiency with Ignition, SQL Programming, Python
  • AI / ML frameworks (TensorFlow, PyTorch), and computer vision tools (OpenCV).
  • Experienced in implementing neural net based classifiers.
  • Familiarity with machine learning algorithms and reinforcement learning technics.
  • Familiarity with industrial communication protocols (OPC-UA, Modbus, MQTT).
  • Strong understanding of Lean Manufacturing and process control principles.

Preferred

  • Experience implementing AI vision systems for assembly and final inspection.
  • Background with predictive maintenance or industrial IoT.
Awareness, Unity, Empowerment:

At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.


AI-Assisted Screening Disclosure

As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.


Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.

If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.


Worker Type:

Regular / Permanent

Group:

Magna Seating

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