Staff Machine Learning Engineer at Steadily

Steadily is hiring a Staff Machine Learning Engineer in Austin, Texas, for a full-time role requiring four days in the office. The engineer will own the end-to-end machine learning lifecycle, including data exploration, feature engineering, model development, deployment, monitoring, and evaluation. The role also owns a lightweight data layer using pipelines and dbt tables, with roughly 30% data pipeline work and 70% modeling, deployment, and monitoring. The position requires at least five years of production machine learning experience, full-stack data capabilities, and a pragmatic, business-focused approach; actuarial, computer vision, and dbt experience are preferred. Benefits include medical, dental, vision, life, disability, HSA, FSA, retirement, and paid time off.