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Careers

Small team.
Foundational work.

We’re building the infrastructure layer for expert reasoning — the kind of work that will matter long after the current AI cycle passes.

We’re a focused team. We hear from people we find interesting regardless of whether we have an open role.

What we look for

Not a job description. The traits that matter.

These are the things we’ve found matter most in practice, above any specific skill.

01

You think carefully about what you're building.

We work in healthcare. The systems we build influence clinical decisions. We need people who take that seriously — who ask 'what happens when this is wrong?' before asking 'how do we ship this faster?'

02

You're comfortable with domain expertise you don't have.

We work alongside world-class clinicians and researchers. The best people we've hired know when to defer to domain knowledge they don't have, and know how to translate technical constraints into terms a clinician can evaluate honestly.

03

You're drawn to hard, important problems.

We're building infrastructure — not apps. The problems we work on don't have obvious solutions and the solutions we find don't always have obvious applications. We look for people who find that energising, not frustrating.

04

You can hold depth and simplicity at the same time.

The platform is technically complex. The products need to be simple enough for a clinician to trust. We need people who understand both — who can reason at the level of stage verifiers and also explain what they do to a nurse in two sentences.

Open roles

Current openings.

ML Engineer — Reasoning SystemsFull-time · Sydney

Working on the ELI platform and stage verifier architecture. Experience with classification systems, active learning, or clinical AI preferred. We care more about how you think about uncertainty than which framework you prefer.

Apply →
Clinical Informatics ResearcherFull-time or Part-time · Sydney / Remote

Bridging clinical domain knowledge and system design. Research background in health informatics, clinical AI, or precision medicine. You'd work directly with our expert partners on knowledge bank construction and validation methodology.

Apply →
Full-Stack EngineerFull-time · Sydney

Building the interfaces clinicians use to govern the system — escalation workflows, knowledge bank management, audit trail review. We use Next.js, TypeScript, Python. We care about craft and about making complexity navigable.

Apply →

Don’t see your role?

We hear from interesting people regardless of open roles. If you care deeply about the problem and have something real to contribute, we want to hear from you.

Get in touch