Darum lohnt es sich
Your Daily Business Co‑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 triage Drive the next iteration of in‑house annotation tooling — UX, throughput, task‑type extensibility — to the bar where vendor revisits are unnecessary Maintain CI/CD, EKS deploys, and LGTM‑stack observability for ML App; triage and fix defects Pair with the Platform team on platform‑side prerequisites (FGA proxy, OIDC) that the new training flows depend on Mentor and code‑review across ML App; share conventions with adjacent teams (Mgmt App, Data, Platform) Your Skillset 5+ years building production fullstack web apps with React + TypeScript SPAs Strong Kotlin (or JVM) backend experience — services, ETL/data pipelines, schema design Demonstrated Your Mission
As 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.
