Applied Machine Learning Engineer (All Levels)

Overview

Applied Machine Learning Engineer designing, building, and operating machine-learning models across the full ML lifecycle to deliver real business impact.

What you'll do

• Support model development, data exploration, testing, and deployments (entry-level).
• Build and deploy production ML models and own key ML project components (mid-level).
• Lead end-to-end ML initiatives, architect ML pipelines, and mentor junior engineers (senior-level).
• Work across data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement.
• Collaborate using pair programming and test-driven development practices.

What you'll need

• Bachelor’s degree (STEM preferred).
• Entry-level experience of 0–2 years (academic, internship, or professional).
• Mid-level experience of 3+ years building ML solutions.
• Senior-level experience of 3+ years deploying and operating ML systems.
• Python skills including pandas, numpy, and scikit-learn, plus software engineering foundations.
• Required ML libraries: scikit-learn, XGBoost, and LightGBM.
• SQL for data exploration and feature engineering.

Details

• Location: USA - IL (Remote).
• Employment compensation: 110,000.00 - 181,025.00 annually (currency not explicitly stated).