Description
Steadily is hiring a Senior 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 pipelines, feature engineering, model development, deployment, monitoring, and evaluation. The role also owns the data layer for models, with roughly 30% data pipeline and dbt table work and 70% feature engineering, 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.
