ML Engineer: End-to-End ML Systems, Hybrid + Equity

Errgo is seeking a Machine Learning Engineer to design, build, and deploy ML models at scale. The role covers the full ML lifecycle—from problem formulation and data prep to model training, evaluation, and production deployment—with a focus on reliability, performance, and maintainability.

You will work at the intersection of research and engineering, translating state-of-the-art ML techniques into production systems.