Machine learning engineer Jobs in Markham, ON

We’re looking for a hands-on Lab Engineer to join the networking device development team responsible for Evertz IP switch fabric products, including the EXE and NATX, and Evertz SDI router products, including the NEXX and ENX platforms.

In this role, you’ll keep our development lab running smoothly — managing device wiring, maintaining hardware inventory, and supporting the CI/CD infrastructure that the engineering team relies on daily.

This is a fully on-site position (5 days per week) given the hands-on nature of the work.

Responsibilities: Maintain and organize network, audio, video, and fiber optic cabling across lab and small-scale data center environments.

Rewire and reconfigure devices based on engineering requests, test plans, and project demands.

Install, replace, and decommission lab devices including switches, servers, and AV networking equipment.

Handle and troubleshoot optical transceivers (SFP/SFP+ and QSFP/QSFP-DD), including installation, swapping, and verifying link status.

Maintain an accurate inventory database of all data center devices, cabling, and port assignments.

Develop and maintain support utility scripts in Python and Bash to streamline lab operations and support remote access to lab devices.

Contribute to the maintenance of the team’s Jenkins CI infrastructure as needed, including updating Jenkins packages and plugins, maintaining build scripts (Python/Bash), and occasional triage of build failures.

This responsibility is shared across the team based on workload and availability.

Qualifications: Diploma or degree in Computer Science, Information Technology, Networking, Electrical/Computer Engineering, or a related field.

• 1–2 years of experience with Python and Bash scripting.

Basic understanding of networking concepts (Ethernet, IP addressing, VLANs, cable types) and the ability to work with structured cabling, including copper and fiber optic.

Familiarity with audio/video cabling, connectors, and optical transceivers (SFP/QSFP) used in broadcast or AV environments is an asset.

Experience with Jenkins or similar CI/CD tools.

Comfortable working in a hands-on lab setting, including racking/unracking equipment, managing cables, and troubleshooting physical connectivity.

Strong organizational skills and attention to detail for maintaining accurate inventory and documentation.

Ability to work independently and prioritize tasks based on engineering team needs.

A willingness to learn new technologies and take ownership of improving existing designs, processes, and tools for the betterment of the product and the team.

Nice to Have: Exposure to broadcast networking, SDI, and SMPTE ST 2110 environments.

Basic awareness of PTP (Precision Time Protocol) and its role in broadcast timing and synchronization.

Experience with network device configuration or management tools.

Familiarity with version control systems (Git, Subversion).

CompTIA Network+, CompTIA Linux+, or similar industry certifications.

What we offer: Employer funded benefits program Competitive total compensation package Work-Life Balance Employee assistance plan Employee Discount Platform Career Progression Casual Work Environment Social Events and Sports Teams Location: Markham, Ontario Hours: Monday to Friday, 40 hours per week Vacancy: This is a newly created position Salary Range: $50,000 to $75,000 per year, based on experience About Evertz Microsystems (TSX: ET) Evertz is a global leader in broadcast technology, delivering cutting-edge hardware and software solutions that deliver content to television sets, on-demand services, WebTV, IPTV, and mobile devices (like phones and tablets) worldwide.

Trusted by major broadcast facilities, telcos, and satellite providers on every continent, we're known for end-to-end innovation that sets the industry standard.

Canadian-headquartered with offices around the world, Evertz has 2,000+ employees and has been recognized as one of Canada's 50 Best Managed Companies — a testament to our commitment to excellence and global impact.

Join a team where your work shapes the future of broadcast and new media industries.

Evertz is committed to equal opportunity employment.

Accommodations are available throughout the recruitment process for applicants with disabilities — please notify HR when scheduling your interview.

Artificial intelligence (AI) technology may be used in our recruitment process to assist with resume screening and interview note-taking.

All hiring decisions are made by our team without AI involvement.

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When you apply to a job on this site, the personal data contained in your application will be collected by Evertz Microsystems Ltd (“Controller”), which is located at 5292 John Lucas Drive, Burlington, Ontario, Canada and can be contacted by emailing privacy@evertz.com.

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