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AI research · H32

Efficient Models Research Scientist

Explore how much useful intelligence can fit into an affordable personal computer. You will pursue improvements that survive honest evaluation.

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Not open yet: Research program

This work starts when that stage arrives, so there is no application to submit today and we will not pretend otherwise. What is written below is what the role is for and what would make somebody right for it, published early on purpose so you can decide whether it is worth watching.

The work

What this person actually does

Research compression, distillation, sparsity, architecture or adaptive computation. Compare against strong baselines on both model capability and actual device behavior. Work with inference and hardware engineers to test whether theoretical savings become user-visible improvements.

The milestone

What it looks like when it is working

In your first 90 days, reproduce a baseline and deliver one tested hypothesis with quality, latency, memory and energy results.

Evidence

What would show us you can do it

Bring strong mathematical and experimental foundations, with a doctorate or equivalent research evidence. Clear negative results and reproducible code are valuable contributions.

Evidence, not credentials. We are describing work you can point at, in whatever form it exists.

The exercise

How we would look at it together

Explain an efficiency result that failed after deployment and propose an experiment to identify the hidden cost.

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