Full-Stack ML Tooling & Infrastructure Engineer

Mecka AI; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

Mecka AI is building the data infra layer for robotics and embodied AI, enabling data capture, labeling, and hardware-enabled workflows used by leading AI labs. You will own the internal annotation platform and develop lightweight ML services like PII blurring, balancing privacy and data preservation.

You will join a hybrid engineering role bridging practical ML deployment and user-facing full-stack development, working within the CVML team to move fast and ship reliable tooling.

Qualifications

• Experience building interactive web applications (React, Vue, or TS) with robust state handling and media playback.
• Production-grade Python and fast, concurrent APIs for high-volume media requests.
• Practical applied ML experience deploying detection/segmentation/tracking models on real-world data.

Responsibilities

• Own the Annotation Platform (CVA) and ship new task types and dashboards.
• Build data pipelines to move video frames, metadata, and JSON between cloud storage, databases, and UI.
• Create tools to measure annotation quality and dataset health; ensure privacy-preserving data handling.

Skills

Frontend engineering

Python back-end

ML deployment

Tools

FastAPI

PyTorch

TensorRT

Job description

Mecka AI is building the data infra layer for robotics and embodied AI, enabling data capture, labeling, and hardware-enabled workflows used by leading AI labs. You will own the internal annotation platform and develop lightweight ML services like PII blurring, balancing privacy and data preservation.

You will join a hybrid engineering role bridging practical ML deployment and user-facing full-stack development, working within the CVML team to move fast and ship reliable tooling.