Machine Learning systems research and performance modeling define this Principal role at Lightmatter, with a adaptable hybrid workplace model stated.

Lightmatter seeks a Principal Machine Learning Infrastructure Researcher for its Machine Learning team. You will invent hardware systems, model Passage-enabled performance, and analyze training and inference workloads. The work spans product, solutions architecture, and engineering teams while advancing silicon photonics research.

Key Responsibilities:

- Model Passage-enabled systems across training and inference workloads
- Design customer reference platforms with product and solutions architecture
- Serve as the Machine Learning expert for teams
- Publish papers, whitepapers, blog posts, and marketing collateral




- Lead a small team of Machine Learning engineers

Requirements:
- PhD in Computer Science, Electrical Engineering, or related field
- At least 10 years of industry or research experience
- Machine Learning systems research and performance modeling background
- Knowledge of Large Language Model training and inference frameworks
- Publications and leadership delivering published research results

Apply Machine Learning systems expertise, performance evaluation, and research leadership to Lightmatter’s photonic computing platforms.

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