AI Theory

🕒 July 27

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Unconventional AI

11 - 50 employees

🤖 Artificial Intelligence

🔧 Hardware

⚡ Energy

Artificial Intelligence • Hardware • Energy

Unconventional AI is rethinking the foundations of a computer to optimize energy efficiency for AI. Founded by experts in AI systems, analog circuits, computing theory, and neuroscience, the company aims to bring biology-scale efficiency to artificial intelligence by redesigning computing architecture and hardware to reduce power consumption for AI workloads.

📋 Description

• Be a foundational member of our small, multi-disciplinary R&D team • Drive invention, prototyping, and validation of the core components of our novel computing platform • Work fluidly across theoretical modeling, algorithm development, hardware/software co-design, and experimental validation in collaboration with team members

🎯 Requirements

• Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline) • A "0-to-1" mindset. • Deep curiosity. • A creative and unconventional approach to problem-solving. • Core competences in the analysis of nonlinear dynamical systems (ODEs, PDEs, SDEs) • The ability to leverage analytic insights to build practical tools – metrics, algorithmic optimizations, and automated analyses • Strong command of Python and expertise with using numeric computing and visualization libraries, such as numpy, scipy, and matplotlib • Familiarity with dynamics-based ML model architectures, and general experience with ML model training flows

🏖️ Benefits

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

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