Substrate is building America. Backed by General Catalyst.
About the role
Integrate machine learning techniques to accelerate scientific simulations, modeling, and computational workflows Develop AI-augmented tools for materials science, device physics, or accelerator physics applications
What they're looking for
- 5+ years professional or academic research experience in physical sciences, engineering, or related field
- 2-3+ years hands-on experience applying machine learning to scientific or technical problems
- Strong programming skills in Python and ML frameworks (PyTorch, TensorFlow, JAX, or similar)
- Deep understanding of scientific computing, numerical methods, and computational modeling
- Proven ability to translate scientific problems into machine learning approaches
- Experience building tools, infrastructure, or capabilities used by technical teams
More about this role
Substrate is addressing one of the most important technological problems facing the United States. At the intersection of advanced manufacturing and cutting-edge physics, we are developing technologies that will reshape the semiconductor industry and strengthen America's technological leadership. We are a team of world-class scientists, engineers, and technical experts building technology for the United States.
As a Research Scientist working with AI, you will accelerate and augment R&D workflows by applying machine learning to scientific simulations and modeling while simultaneously building internal AI capabilities across the organization. This role sits at the intersection of cutting-edge physics and artificial intelligence, and you'll work hands-on to develop AI-augmented tools that enable breakthrough research, and build the infrastructure and expertise that empowers our technical teams to leverage AI in their own work. Whether you are a physicist who has embraced machine learning or an AI expert with deep scientific domain knowledge, you will play a pivotal role in defining how we utilize AI to accelerate our own internal R&D.
Integrate machine learning techniques to...
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