You explore how much useful intelligence fits into an affordable personal computer, and you pursue only the improvements that survive honest evaluation. Clear negative results are a real contribution here, because they stop the rest of the company spending a quarter on something that will not work.
Open for applications. Starts at: Research program.
We are taking applications for this role now and building the pipeline for it. The stage above is when the work itself is expected to begin, which is something you deserve to know before you apply rather than after. It is context, not a gate.
Where
In the office together five days a week, in one of our garages, and remote-friendly around your family, arranged one person at a time. We hire across the United States 🇺🇸, India 🇮🇳 and the UAE 🇦🇪.
The work
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
In your first 90 days, reproduce a baseline and deliver one tested hypothesis with quality, latency, memory and energy results.
Required
Nice to have
Evidence
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
Explain an efficiency result that failed after deployment and propose an experiment to identify the hidden cost.
The package
Indicative pay ranges by market and level are on the compensation page. Plan numbers are confirmed in your offer letter.
Apply
One short form. A person reads every application and you hear back either way. You will get your own link to check where things stand, and you can withdraw or delete your application from it at any time, without an account.
