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 workloads Design customer reference platforms with product teams Provide machine learning expertise across technical discussions Publish papers, whitepapers,



and technical marketing materials Lead a small team of machine learning engineers Requirements:

PhD and at least 10 years of industry or research experience Machine learning systems research and performance modeling experience Large Language Model training and inference framework knowledge Academic publications in relevant journals or conferences Robust AI compute and networking technology knowledge Apply principal-level machine learning systems research, performance evaluation, and team leadership to Lightmatter’s photonic computing work.

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