Build an independent inference engine
MLVisor is built by a small, engineering-led team at ImperialTechs. We chose the harder path — writing our own engine.
What we're hiring for
No open roles right now
The team is small and hiring moves in bursts. You can still leave a general application below — it is the first place we look when a role opens.
What working here looks like
Engine-first
We are not wrapping someone else's model. The code you write here touches the inference engine itself.
Small team, wide ownership
The person writing the engine and the person designing the product sit at the same table. No layers, no hand-offs.
Building in the open
We publish public benchmarks and iterate together with our early partners.
Responsibility
Keeping customer data in-house is an architectural decision rather than a marketing promise, and we hold to it.
General application
Write to us without a listing. We want to see what you have built and why this problem interests you — a work sample tells us more than a CV.
Personal data in your application is handled as described in our KVKK notice and privacy policy, and retained for at most one year.