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 (Toronto)
🏢 lightmatter
📍 Toronto