ME
mecka

Full-Stack Engineer, ML Tooling and Infrastructure

Toronto, Ontario
On-site
Full-time
No salary posted4 days ago
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Employment type
Full-time · On-site
Posted
November 9, 2026
Province
Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware. The Role This role exists as a high-leverage force multiplier for ou…

This role is based in Ontario. mecka is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Full-Stack Engineer, ML Tooling and Infrastructure in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Full-stack development experience
  • Strong understanding of ML systems and workflows
  • Infrastructure and tooling development experience
  • Experience with data systems and pipelines
  • Ability to work with frontier robotics/AI teams

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Full-Stack Development
  • Machine Learning
  • Infrastructure

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What you'll do

  • Design and develop ML tooling platforms
  • Build and maintain infrastructure for data capture and labeling workflows
  • Create systems that enable hardware-enabled AI workflows
  • Collaborate with robotics teams to support AI training and validation
  • Bridge real-world data with simulation and deployed hardware systems
  • Serve as a high-leverage force multiplier for the organization

What you'll need

  • Full-stack development experience
  • Strong understanding of ML systems and workflows
  • Infrastructure and tooling development experience
  • Experience with data systems and pipelines
  • Ability to work with frontier robotics/AI teams

About the Company

ME

mecka