Substrate
Research Scientist, AI
$150K–$275K
San Francisco · On-site · Full-time · Posted Oct 28, 2025
- Experience
- 5+ years in research; 2-3+ years applying machine learning.
- Education
- PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field (preferred).
- Visa sponsorship
- Applicants must be legally authorized to work in the United States. This position is not eligible for visa sponsorship.
About the job
Applies machine learning to scientific simulations and modeling, develops AI tools and infrastructure, and helps research teams use AI in R&D.
What you'll do
- Integrate machine learning into scientific simulations, modeling, and computational workflows; develop AI-augmented tools for scientific applications.
- Build internal AI infrastructure and data pipelines, and establish ML best practices for R&D.
- Collaborate with researchers and train and mentor technical teams on AI/ML workflows.
What they ask 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; deep understanding of scientific computing, numerical methods, and computational modeling.
- Ability to translate scientific problems into machine learning approaches; experience building tools, infrastructure, or capabilities used by technical teams.
Nice to have
- PhD in Physics, Materials Science, Computer Science, Applied Mathematics, or related field.
- Publications or experience in physics-informed machine learning, scientific foundation models, or relevant scientific domains.
Pay
$150,000-$275,000 USD (base salary)
Tools
Python, PyTorch, TensorFlow, JAX
AI focus
Applies AI/ML to scientific simulations, modeling, materials science, device physics, and accelerator physics; builds AI tools and infrastructure for R&D.
Model-written summary · the original posting is authoritative