Unconventional AI is rethinking the foundations of compute to bring biology-scale energy efficiency to AI. Backed by Lightspeed, Sequoia and a16z.
About the role
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. 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.
What they're looking for
- Education: An MS/PhD or equivalent research/project experience in a quantitative field such as AI/Machine Learning, Computer Science, Physics, Electrical Engineering, or Applied Math
- Experience: Deep expertise in the theory, training, and empirical analysis of modern ML model architectures. Demonstrated ability to design, implement, and scale models across tasks and modalities
- Software Development: Deep experience with PyTorch or JAX, including implementation of custom model components and training loops
More about this role
Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale.
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. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction.
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. 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,...
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