Become a Senior Infrastructure Engineer specializing in machine learning at our cutting-edge firm. Drive the development of systems that power advanced research on large language models. In your role, you will lead the charge in creating and scaling the infrastructure needed to support our ambitious machine learning initiatives.

With your robust software engineering background, you will work on building production-ready systems that address complex research needs. Engage directly with researchers and iterate rapidly based on their feedback. Key Responsibilities:
Design infrastructure that enhances ML research capabilities
Develop core primitives that support reproducible experimentation
Create effective logging and debugging tools
Ensure scalability and reliability through automated tests Requirements:
Solid experience with ML frameworks such as PyTorch or JAX
Knowledge of distributed systems and cloud platforms
Experience in building scalable data pipelines
Interest in LLM training and inference
Effective balancing of production and research demands Elevate machine learning infrastructure, driving performance and reliability as part of our expert team.

📌 Senior Infrastructure Engineer For Ml Projects Toronto
🏢 United States Digital Space
📍 Toronto