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Research Scientist, AI

SubstrateResearchOnsiteFull-timeSan Francisco
$150k-$275kposted 2h ago

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RESEARCH SCIENTIST, AI

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.

SUMMARY

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.

RESPONSIBILITIES

- 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

- Build internal AI infrastructure and capabilities to enable research teams across the organization

- Train and mentor scientists and engineers on integrating AI/ML into their research workflows

- Implement surrogate models, physics-informed neural networks, or generative approaches for scientific problems

- Develop data pipelines and frameworks for scientific machine learning across distributed teams

- Collaborate with computational physicists and experimentalists to identify high-impact AI applications

- Set AI best practices and establish standards for ML-augmented R&D

REQUIRED QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field

- Publications applying ML to scientific computing, simulation, or experimental data analysis

- Experience with physics-informed machine learning or scientific foundation models

- Background in accelerator physics, semiconductor devices, materials modeling, or related domains

- Track record of enabling technical teams through tool development or mentorship

Salary Range

$150,000-$275,000 USD

Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.