Steadily in Austin, TX is seeking a Staff Machine Learning Engineer to own end-to-end ML lifecycle—from data collection to production deployment—across image and other data types. You’ll shape architecture, tooling, and ML strategy as the second ML hire, with significant autonomy and business impact.
You will touch data engineering, feature engineering, modeling, deployment, and monitoring in a fast-growing, in-office 4-days-per-week environment, reporting to the Engineering & Product teams.
#J-18808-LjbffrStaff ML Engineer — End-to-End Production ML in Austin in austin at Unknown Company
This position is listed as full time and onsite.