
AI/ML Research Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Armenia.
• Carry out innovative research utilizing machine learning methods for chip design and optimization challenges.
• Create and execute algorithms employing graph neural networks, diffusion models, and other sophisticated ML frameworks.
• Work collaboratively with interdisciplinary teams comprising engineers and researchers.
• Share research outcomes in prestigious conferences and academic journals.
• Prototype and assess new methodologies using contemporary ML frameworks.
• Contribute to the development of open-source or commercial Electronic Design Automation (EDA) tools.
• PhD with over 1 year of research experience in Electrical Engineering, Computer Science, Information Systems, or a related STEM discipline.
• More than 1 year of experience with contemporary machine learning architectures, including Transformers, Graph Neural Networks, and Diffusion models.
• Proficient coding skills in Python and C++.
• Familiarity with machine learning frameworks such as PyTorch.
• At least one publication in leading machine learning conferences (NeurIPS, ICML, ICLR, etc.).
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees) — desirable.
• Knowledge of classical search and optimization methods (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.) — desirable.
• Experience with EDA tools, whether commercial or open-source — desirable.
• Publications in top-tier venues focusing on AI applications in chip design or materials science — desirable.
• Comprehensive health benefits including medical, dental, and vision coverage.
• Competitive salary with performance-based bonuses.
• Opportunities for professional development and continuing education.
• Flexible work hours and the possibility of remote work.
• Supportive and innovative work environment that fosters collaboration.
University of Arkansas System
WashU IT
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