Top Tech Jobs & Startup Jobs in Toronto

Own end-to-end delivery programs for robotics and embodied AI datasets. Coordinate Sales, Data Operations, Labeling, and Engineering to meet customer specifications, volumes, quality standards, and timelines. Build scripts, QA checks, packaging tools, manifests, dashboards, and reporting to automate delivery workflows. Define dataset standards, monitor metrics, manage escalations, and serve as a senior customer-facing delivery lead for AI-lab accounts.

Own full-cycle technical recruiting for engineering, machine learning, computer vision, robotics, and research roles. Responsibilities include specialized talent sourcing, market mapping, pipeline development, hiring-manager partnership, interview-process improvement, candidate engagement, offer closing, and recruiting analytics. The recruiter will build relationships across technical communities and help scale Mecka AI’s recruiting systems and practices.

Build and maintain an internal computer vision annotation platform, including interactive workflows, dashboards, data pipelines, and quality measurement tools. Develop customer-facing ML services for PII blurring and model-assisted labeling. Deploy and optimize detection and segmentation models using PyTorch, TensorRT, and ONNX, and expose them through high-performance concurrent APIs. The role requires strong frontend engineering, production Python, applied ML deployment, video processing, and human-in-the-loop workflow expertise.

Design and operate backend systems that ingest, process, store, and serve petabyte-scale video and sensor data. Build high-throughput upload/ingest, processing, indexing, retrieval, and access-control services. Own service quality, latency, uptime, capacity planning, cost, observability, and incident response. Coordinate distributed compute across cloud infrastructure and large GPU fleets to make data movement reliable and performant.

Provide on-site technical ownership for robot deployments: setup, calibration, troubleshooting hardware/software/networking, lead high-quality data capture, support teleoperation workflows, coordinate with remote teams, document issues and improve field processes.