Software Engineer, ML Ops and Platform

About the role

We are building a planet‑scale biometric recognition system that will serve more than a billion users and enable them to become part of the World protocol. We use cutting-edge Machine Learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction.

What you’ll do

• Design, build, and operate reliable, observable infrastructure for training, evaluation, telemetry ingestion, and deployment.
• Maintain CI/CD workflows and automated pipelines.
• Edge‑aware rollout services with staged deployment, A/B experimentation and instant rollback across Orbs, Orb Mini and Mobile Apps.
• Develop secure APIs and backend services that expose governed datasets and model artefacts at scale.
• Implement automated checks, drift detection, and alerting for real-time model monitoring.
• Champion best practices in data lineage, reproducibility, privacy‑by‑design, security and secure edge delivery.
• Collaborate across ML research, product, and firmware teams to streamline delivery and feedback loops.