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 Toronto (Canada)
🏢 lightmatter
📍 Canada