// Engineering Toronto · Hybrid · Full time ML Engineer · Computer Vision Build the vision pipelines that catch defects on a chemical plant line and track containers in a yard. // What you'll own The role You’ll join a small team focused on the computer vision surface of the Innfini platform. The work is product, customer, and consequence — in equal measure. You’ll ship to customers running national-scale operations, sometimes from a war room, sometimes from a chemical plant. Camera-to-RFID fusion Vision quality eval framework // What we look for You 01 Production ML experience — not just research 02 YOLO/Detectron-class detection models tuned per site 03 Camera-to-RFID fusion 04 Quantization for edge deployment 05 Continuous evaluation against ground truth // What we offer The deal.



Competitive base + meaningful equity. Salary bands published internally. Equity that vests over four years with a one-year cliff. Healthcare and retirement that don't make you read the fine print. Comprehensive medical, dental, vision. 401(k) match (US) and equivalent country plans elsewhere. 4 weeks vacation. Sabbatical at year five. We’re a 10-year company on a 30-year problem. Hybrid, with intent. Tuesday + Thursday in-office at your hub. Heads-down days are protected. Async-by-default for documents, sync for decisions. #J-18808-Ljbffr

📌 Ml Engineer · Computer Vision (Toronto)
🏢 Innovent
📍 Toronto