Full-time
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Machine Learning Optimization Engineer at Red Hat
Posted by Red Hat Canada Limited (f.k.a Cygnus Solutions Canada Limited) • May 30, 2026
Description
Elevate your career as a Machine Learning Optimization Engineer with Red Hat. Focus on enhancing LLM technologies through innovative model compression and optimization algorithms in a flexible work environment.
In this impactful role, you will collaborate with diverse teams to develop and streamline AI model deployment. Your expertise in optimization algorithms and deep learning will be essential to advancing our cutting-edge projects. This position is perfect for candidates eager to engage in open-source solutions and practical machine learning applications.
Key Responsibilities:
• Contribute to model optimization algorithm development
• Create and optimize compression pipelines using advanced techniques
• Collaborate on building scalable LLM training frameworks
• Monitor and optimize performance across various hardware
• Guide and mentor team members for growth
Requirements:
• Strong foundation in machine learning and deep learning
• Practical experience...
In this impactful role, you will collaborate with diverse teams to develop and streamline AI model deployment. Your expertise in optimization algorithms and deep learning will be essential to advancing our cutting-edge projects. This position is perfect for candidates eager to engage in open-source solutions and practical machine learning applications.
Key Responsibilities:
• Contribute to model optimization algorithm development
• Create and optimize compression pipelines using advanced techniques
• Collaborate on building scalable LLM training frameworks
• Monitor and optimize performance across various hardware
• Guide and mentor team members for growth
Requirements:
• Strong foundation in machine learning and deep learning
• Practical experience...
Ready to Seal the Deal?
Submit your application today and take the next step in your career with Red Hat Canada Limited (f.k.a Cygnus Solutions Canada Limited).
Apply for this Job