Full-Stack Engineer, ML Tooling & Infrastructure

Location: Toronto GTA (on-site)

Type: Full-time

Openings: 1

Salary: CA$130K – $180K + equity The role

Be the force multiplier for a core computer vision and machine learning team. You won't build foundation models; you'll own the internal tooling, infrastructure and targeted ML services that let that team move fast. That includes the annotation platform the labeling team uses daily and a customer-facing privacy-blurring pipeline. This is a true hybrid role: practical ML deployment plus robust, user-facing full-stack apps.

What you'll do
Own the annotation web app: recent task types, review workflows, keyboard-driven UI and progress dashboards
Write pipelines that move video frames, metadata and JSON between cloud storage, databases and the client app
Build quality tools for inter-annotator agreement, audit sampling and dataset health
Own the pipeline that detects and blurs faces, screens and license plates in delivered footage
Deploy lightweight detection and segmentation models so annotators correct rather than create from scratch




Optimize PyTorch models (TensorRT, ONNX) and serve them through quick, concurrent APIs

What you bring
Heavy frontend engineering: interactive web apps in React, Vue or modern JS/TS, including complex state, canvas rendering or in-browser video
Production-grade Python: rapid, concurrent APIs (FastAPI, gRPC) that handle high-volume media
Practical applied ML: fine-tuning and deploying detection, segmentation or tracking models on messy real-world data, beyond the notebook

Nice to have
Built or customized an annotation UI (bounding boxes, polygons, keypoints) and understand human-in-the-loop pain points
Video pipelines: FFmpeg, frame extraction, codecs, latency optimization
Active learning or hard-negative mining to improve datasets
You measure success by how fast your end users can work

Not the right fit if you want to design novel architectures, prefer backend-only work, or expect clean datasets handed to you.

📌 Full Stack Engineer Ml Tooling & Infrastructure On Site Toronto
🏢 Targeted Talent
📍 Toronto