🎤 Why voize? Because we’re more than just a job!At voize, we believe the greatest gift to frontline workers is time - time to care, connect, and be present.
Today, that time is lost to busywork and complex systems that pull them away from what matters most: people.
Our vision is to change that by building AI companions that seamlessly take over digital workflows.
We don’t replace humans with technology - we amplify their impact.
Our mission is backed with a $50M Series A funding led by Balderton Capital, with support from HV Capital, Y Combinator and other leading VCs.
Today, 2,000+ facilities trust voize, and over 200,000 users rely on our AI companion to ease their daily workload.
As a dynamic team, we combine first-in-class technology with meaningful social impact.
And now, we’re looking for you to join us on this mission!💡 Your MissionAs a Senior Fullstack Engineer at voize, you will be a co-owner of voize's ML App — the in-house platform for annotation, data exploration, ML training orchestration, model evaluation, and the HIPAA-bearing data flows that move PHI from customer to model.
Make in-house tooling good enough that revisiting Labelbox/Encord-style vendors is permanently off the table, and unblock HIPAA-compliant training on US customer data.
🚀 Your Daily Business - No two days are alikeCo-own the ML App codebase (React/TS SPA + Kotlin services + Kotlin ETL on EKS)Design and ship features for data labelling, data exploration, ML training orchestration, model evaluation, model playgrounds, and ML-issue triageDrive the next iteration of in-house annotation tooling — UX, throughput, task-type extensibility — to the bar where vendor revisits are unnecessaryMaintain CI/CD, EKS deploys, and LGTM-stack observability for ML App; triage and fix defectsPair with the Platform team on platform-side prerequisites (FGA proxy, OIDC) that the new training flows depend onMentor and code-review across ML App; share conventions with adjacent teams (Mgmt App, Data, Platform).