Full-Stack Engineer, ML Tooling and Infrastructure
Mecka, Toronto GTA
About the job
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 our core Computer Vision Machine Learning (CVML) team. You are not building the foundational models for our robotics systems; rather, you own the critical infrastructure, internal tooling, and targeted ML services that enable the CVML team to move fast.
You will own the internal annotation platform used by our labeling team and develop lightweight, high-reliability ML services like our Personal Identifiable Information (PII) blurring pipeline. This is a true hybrid engineering role demanding competence in both deploying practical ML models and writing robust, user-facing full-stack applications.