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

Solid AI compute and networking technology knowledge

Apply 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