You let people adapt models and run appropriately sized training jobs on resources they control, and you make those jobs reproducible, interruptible and accountable. Interruptible matters more than it sounds: this is somebody's own machine, and they get to want it back.
Open for applications. Starts at: Pilot expansion.
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
Build training pipelines, checkpoints, optimizer-state handling, resource scheduling and distributed execution where the network supports it. Coordinate local inference with background training. Enforce dataset permissions and explicit limits before a job moves to remote compute.
The milestone
In your first 90 days, deliver a recoverable local fine-tuning workflow and a documented boundary between supported local jobs and remote workloads.
Required
Nice to have
Evidence
Bring practical ML training systems experience and distributed-computing fundamentals. Understand memory accounting, numerical stability and the difference between fine-tuning and large-scale pretraining.
Evidence, not credentials. We are describing work you can point at, in whatever form it exists.
The exercise
Plan a training run that must survive a power interruption while preserving the ability to compare results with the original baseline.
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.