
AI/ML Research Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Poland.
• Engage in pioneering research that utilizes machine learning techniques for chip design and optimization challenges.
• Create and implement algorithms leveraging graph neural networks, diffusion models, and other state-of-the-art ML architectures.
• Work collaboratively with cross-disciplinary teams, including engineers and researchers.
• Disseminate research outcomes in prestigious conferences and journals.
• Prototype and validate innovative methods using contemporary ML frameworks.
• Contribute to either open-source or commercial Electronic Design Automation (EDA) tools.
• A PhD with over 1 year of research experience in Electrical Engineering, Computer Science, Information Systems, or a related STEM field.
• A minimum of 1 year’s experience working with modern machine learning architectures such as Transformers, Graph Neural Networks, and Diffusion models.
• Proficient coding abilities in Python and C++.
• Familiarity with machine learning frameworks such as PyTorch.
• At least one publication in leading machine learning conferences (e.g., NeurIPS, ICML, ICLR, etc.).
• Experience with deep learning applications on graphs (including general graphs, circuit graphs, molecular graphs, or trees) is desirable.
• Knowledge of classical search and optimization methods (e.g., Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.) is a plus.
• Familiarity with EDA tools, whether commercial or open-source, is advantageous.
• Publications in esteemed venues that focus on AI for chip design or AI for materials science are a plus.
• Opportunity to work on innovative projects at the forefront of technology.
• Collaborative and inclusive work environment.
• Access to advanced tools and resources to support research and development.
• Professional growth and development opportunities.
University of Arkansas System
WashU IT
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