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 Training Platform, you will be a core contributor to the infrastructure that powers our model training ecosystem. You will build and scale the end-to-end tooling required to train, evaluate, and benchmark models. Your work will directly accelerate researchers' ability to map neural networks to novel hardware and push the boundaries of physics-based compute.
What they're looking for
- Education: BS in Computer Science, Physics, Electrical Engineering, or Applied Math
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 Training Platform, you will be a core contributor to the infrastructure that powers our model training ecosystem. You will build and scale the end-to-end tooling required to train, evaluate, and benchmark models. Your work will directly accelerate researchers' ability to map neural networks to novel hardware and push the boundaries of physics-based compute.
- Training Infrastructure: Architect, scale, and maintain the core AI/ML/RL training platform and infrastructure. Design and scale multi-node...
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