Unconventional AI
AI Theory
Mountain View, CA I US Remote +2 · Remote · Full-time · Posted Dec 11, 2025
- Location
- Mountain View, CA I US Remote
Mountain View
Remote - Education
- Quantitative field such as Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline; MS/PhD or equivalent research/project experience strongly preferred.
About the job
Drive invention, prototyping, and validation of a novel computing platform through theoretical modeling, simulation, algorithm development, hardware/software co-design, or experimental validation.
What you'll do
- Develop analytic insights and practical tools for studying nonlinear dynamical systems.
- Prototype and validate platform components, potentially spanning algorithms, simulation, and hardware/software co-design.
- Translate technical trade-offs between AI/ML and hardware teams.
What they ask for
- Strong quantitative technical ability and experience tackling complex, ambiguous R&D problems.
- Core competence analyzing nonlinear dynamical systems, including ODEs, PDEs, or SDEs.
- Strong Python skills and experience with numeric computing and visualization libraries.
- Familiarity with dynamics-based ML architectures and ML training flows.
Nice to have
- MS/PhD or equivalent research/project experience.
- Experience with SymPy, PyTorch, or JAX.
Tools
Python, numpy, scipy, matplotlib, sympy, PyTorch, JAX
AI focus
Develop and analyze dynamics-based machine learning approaches, including diffusion and energy-based models, for an energy-efficient computing platform.
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