Unconventionalinc

AI Theory

Palo Alto, CA I US Remote

Sponsorship not specifiedDetected 49 days ago

PythonAlgorithmsMachine LearningPyTorchNumPyElectrical EngineeringHardware DesignResearchLeadershipCommunicationCollaboration

About the role

As a Member of Technical Staff, you will be a foundational member of our small, multi-disciplinary R&D team.
We are looking for 'first principles' thinkers who are excited to tackle the hardest, most ambiguous technical challenges at the intersection of AI, physics, and computer architecture.
You will be responsible for driving invention, prototyping, and validation of the core components of our novel computing platform.

Your work will be fluid and could span from theoretical modeling and simulation to algorithm development, hardware/software co-design, or experimental validation in collaboration with other team members.

You have a demonstrated history of tackling complex, ambiguous R&D problems, often from a blank slate.
Analytic Foundations: Core competences in the analysis of nonlinear dynamical systems (ODEs, PDEs, SDEs), ideally with experience analyzing the stability, noise robustness, and capacity of such systems.
Programming Proficiency: Strong command of Python and expertise with using numeric computing and visualization libraries, such as numpy, scipy, and matplotlib.
Experience with libraries geared toward analysis, such as computer algebra libraries (e.g., sympy ) also recommended.
ML/AI Familiarity: Familiarity with dynamics-based ML model architectures, such as diffusion models and energy-based models, and general experience with ML model training flows.
Experience with using high-level ML model frameworks, such as PyTorch and JAX.
Compute model technical staff may focus primarily on the above skillsets, or may be cross-disciplinary with hardware or AI/ML algorithms expertise.
Cross-Functional Leadership: Excellent ability to translate complex technical concepts for diverse teams.
The Mission: Tackle a fundamental problem that could redefine computing for the next 50 years.
Strong command of Python and expertise with using numeric computing and visualization libraries, such as numpy, scipy, and matplotlib.

Core competences in the analysis of nonlinear dynamical systems (ODEs, PDEs, SDEs), ideally with experience analyzing the stability, noise robustness, and capacity of such systems.
Exceptional technical ability in a quantitative field (e.g., Physics, Computer Science, Electrical Engineering, Applied Math, or a related discipline).
An MS/PhD or equivalent research/project experience is strongly preferred.

A comprehensive package including best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals in our Palo Alto office.
Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors.

At Unconventional, our mission is to solve this.
We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient.

This listing is sourced directly from Unconventionalinc's careers page and normalized into a canonical job model.