AI/ML Research Scientist
Summary
Conducts cutting-edge machine learning research for chip design and optimization, developing algorithms with graph neural networks, diffusion models, and Transformers using Python, C++, and PyTorch, while publishing at top ML conferences and contributing to EDA tools.
We are looking for an AI/ML Research Scientist to join our team!
Responsibilities
Conduct cutting-edge research in applying machine learning techniques to chip design and optimization problems
Develop and implement algorithms using graph neural networks, diffusion models, and other advanced ML architectures
Collaborate with cross-functional teams including engineers and researchers
Publish research findings in top-tier conferences and journals
Prototype and validate new approaches using modern ML frameworks
Contribute to open-source or commercial EDA tools
Minimum Qualifications
PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or STEM-related field
1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
Strong coding skills in Python and C++
Experience with machine learning frameworks like PyTorch
At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
Preferred Qualifications
Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
Experience with EDA tools, either commercial or open-source
Publications in top-tier venues focusing on AI for chip design or AI for materials science
