Unconventionalinc

AI Theory & Systems, Algorithms & Models

Palo Alto, CA

Sponsorship not specifiedDetected 17 hours ago

AlgorithmsMachine LearningPyTorchNLPElectrical EngineeringResearchCollaboration

About the role

You will build scaled, end-to-end architectures for image generation, language & reasoning, video, and world models that function optimally on our novel compute substrates.

AI Algorithms & Models: Co-design and evaluate next-generation AI models, including diffusion, flow, energy-based models, Neural ODEs, and Deep Equilibrium Models.
You will collaborate closely across the team to combine, modify, and implement core modeling components, including both conventional (e.g., attention, normalization, Mixture-of-Experts, FFNs) and unconventional components.
Scaling & Capability: Establish and test scaling laws specific to our novel hardware. Develop and refine methodologies and strategies (e.g., muP) for pushing model capability toward the frontier of conventional and newly enabled capability.
As a Member of Technical Staff, AI Systems, Algorithms & Models, you will design and scale model architectures that combine novel computational primitives with conventional neural network components to achieve competitive capability across modalities.

Software Development: Deep experience with PyTorch or JAX, including implementation of custom model components and training loops.
Numerical Methods: Experience with numerical methods for differentiating through continuous-time systems (e.g., backpropagation through differential equations, adjoint methods, fixed-point solvers).
The Mission: Redefine computing for the next 50 years by solving the fundamental energy limitation of AI at a global scale.
Deep expertise in the theory, training, and empirical analysis of modern ML model architectures.
Experience with numerical methods for differentiating through continuous-time systems (e.g., backpropagation through differential equations, adjoint methods, fixed-point solvers).

Deep experience with PyTorch or JAX, including implementation of custom model components and training loops.

A comprehensive package including best-in-class health benefits, 401k matching, truly unlimited PTO, and complimentary meals in our Palo Alto office.
Develop general learning frameworks (e.g., flow matching) across these domains.
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.