Shape machine learning systems research in Toronto with performance modeling, silicon photonics, and large language model expertise at Lightmatter.Lightmatter seeks a Principal Machine Learning Infrastructure Researcher for its Machine Learning team. You will model Passage-enabled systems across training and inference workloads, design rack-scale platforms, and develop research that advances AI infrastructure. The work spans research, product, solutions architecture, and engineering collaboration.Key Responsibilities:

Model Passage-enabled performance for training and inference workloadsDesign customer reference platforms with product teamsProvide machine learning expertise across technical discussionsPublish papers, whitepapers,



and technical marketing materialsLead a small team of machine learning engineersRequirements:

PhD and at least 10 years of industry or research experienceMachine learning systems research and performance modeling experienceLarge Language Model training and inference framework knowledgeAcademic publications in relevant journals or conferencesStrong AI compute and networking technology knowledgeApply principal-level machine learning systems research, performance evaluation, and team leadership to Lightmatter’s photonic computing work.

📌 Principal Machine Learning Systems Researcher (Winnipeg)
🏢 lightmatter
📍 Winnipeg