mecka.ai · Toronto GTA
Skills: Python, SQL, CI/CD
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 Every hour our operators work produces hours of synchronized video, robot state, and actions, and that data is a core product. You'll own the path from robot site to a searchable, trustworthy dataset that our researchers train on and our customers buy. You'll also run the infrastructure that keeps a growing, geographically spread fleet updated, monitored, and healthy. What you'll do - Own data storage and lifecycle: ingest from sites, object storage layout, retention, tiering, and cost. - Build the catalog: episode metadata, task labels, operator and robot info, quality flags, and search, so anyone can find "all successful pick-and-place episodes on arm model X last month." - Build automated quality checks: dropped frames, sync drift, missing streams, failed or truncated episodes. - Build dataset export and delivery: convert raw episodes into the formats training teams and customers expect, with versioning and provenance. - Handle data governance: access control, customer and site data agreements, privacy (faces, sensitive scenes on site), and audit trails for data we sell. - Run fleet infrastructure: provisioning edge machines at sites, remote software deploys and rollbacks, secrets, VPN/connectivity, monitoring, and alerting. - Keep cloud costs and bandwidth under control as data volume grows. - Build dashboards to monitor data collection status and progress What we're looking for - 3-4 years as a data, platform, or infrastructure engineer owning production systems end to end. - Experience with large unstructured data (video, sensor…
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