AI Theory

The role

As a Member of Technical Staff, you will drive invention, prototyping, and validation of core components for a novel computing platform. Your work will span theoretical modeling, algorithm development, hardware/software co-design, or experimental validation.

What you will do

• Drive invention, prototyping, and validation of core components of a novel computing platform
• Perform theoretical modeling and simulation
• Develop algorithms
• Perform hardware/software co-design
• Conduct experimental validation in collaboration with team members
• Navigate deep uncertainty to help chart the technical roadmap

Required qualifications

• Exceptional technical ability in a quantitative field such as Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline
• Demonstrated history of tackling complex, ambiguous R&D problems
• Core competences in the analysis of nonlinear dynamical systems (ODEs, PDEs, SDEs)
• Ability to leverage analytic insights to build practical tools like metrics, algorithmic optimizations, and automated analyses
• Strong command of Python
• Expertise with numeric computing and visualization libraries such as numpy, scipy, and matplotlib
• Familiarity with dynamics-based ML model architectures such as diffusion models and energy-based models
• General experience with ML model training flows

Nice to have

• MS/PhD or equivalent research/project experience
• Experience with computer algebra libraries such as sympy
• Experience with high-level ML model frameworks such as PyTorch and JAX
• Cross-disciplinary expertise with hardware or AI/ML algorithms
• Excellent ability to translate complex technical concepts for diverse teams

Benefits

• Best-in-class health benefits
• 401k matching
• Truly unlimited PTO
• Complimentary meals in our Palo Alto office

About the company

Unconventional is rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient by exploiting the rich physics of semiconductors.