Machine Learning Scientist in AI Architecture
C
Cerebras
📍 toronto, on, Canada
Job Description
Lead the development of cutting-edge AI solutions on advanced wafer-scale hardware. Drive innovation by combining machine learning and computational science to create breakthrough training approaches.
This role seeks a PhD-level candidate skilled in optimization theory and AI methodologies. Collaborate deeply with teams in ASIC design, interim, and computational domains. Your contributions will be instrumental in shaping future AI workloads and next-gen silicon, influencing both academic and industry perspectives.
Key Responsibilities:
• Innovate AI modeling methods from fundamental principles
• Utilize computational science techniques for AI advancement
• Inform algorithm designs based on hardware capabilities
• Present groundbreaking research at esteemed conferences
• Guide future hardware design through research insights
Requirements:
• PhD in a quantitative discipline preferred
• Strong publication rec...
This role seeks a PhD-level candidate skilled in optimization theory and AI methodologies. Collaborate deeply with teams in ASIC design, interim, and computational domains. Your contributions will be instrumental in shaping future AI workloads and next-gen silicon, influencing both academic and industry perspectives.
Key Responsibilities:
• Innovate AI modeling methods from fundamental principles
• Utilize computational science techniques for AI advancement
• Inform algorithm designs based on hardware capabilities
• Present groundbreaking research at esteemed conferences
• Guide future hardware design through research insights
Requirements:
• PhD in a quantitative discipline preferred
• Strong publication rec...