Job Description
Lead transformative research as an AI and Computational Science Research Scientist. Design pioneering AI training methodologies optimized for wafer-scale processing capabilities.
This role combines deep technical knowledge with innovative thinking to redefine AI model architectures. Work alongside industry experts and academic institutions to elevate the understanding of computational patterns for emerging AI workloads. Your research will significantly influence next-generation hardware developments.
Key Responsibilities:
- Craft AI models using first-principle designs on advanced hardware
- Leverage numerical methods to improve AI methodologies
- Understand hardware to refine algorithm choice and efficiency
- Publish significant findings in high-impact venues
- Shape future AI hardware and architecture
Requirements
- PhD in Machine Learning, foundational mathematics, or related area
- Proven publication record in leading AI conferences
- Proficiency in Python and PyTorch; comfortable with lower-level languages
- Strong analytical skills and excellent communication
- Ability to thrive in collaborative research settings
Innovate in the AI field with unique access to advanced hardware and reshape the landscape of machine learning research.
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About Cerebras Systems
Cerebras Systems
cerebras.ai
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