19 Aug
|
United States Digital Space
|
Toronto
19 Aug
United States Digital Space
Toronto
Become a Senior Infrastructure Engineer specializing in machine learning at our innovative 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 solid 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.
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📌 Senior Infrastructure Engineer for ML Projects (Toronto)
🏢 United States Digital Space
📍 Toronto