Applied Machine Learning Engineer – All Levels

🕒 2 days ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $110k - $181k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🤖 Machine Learning Engineer

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Allstate

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1931

💸 Finance

💰 Post-IPO Equity on 2014-01

Insurance • Finance

Allstate is an industry leader in providing insurance solutions, focusing on home, auto, device, and identity protection. With a commitment to customer well-being, Allstate aims to instill peace of mind and financial security for its customers. The company also emphasizes community impact and sustainability through various initiatives, showcasing their dedication to social responsibility and positive change.

📋 Description

• Design, build, and operate machine-learning models that deliver real business impact • Work across the full ML lifecycle including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement • Emphasize pair programming and test-driven development to ensure high-quality, reliable solutions • Support model development, testing, and deployments as an entry-level engineer • Build and deploy production ML models as a mid-level engineer • Lead end-to-end ML initiatives and mentor junior engineers as a senior-level engineer

🎯 Requirements

• Bachelor's degree (STEM preferred) • Entry-Level: 0–2 years (academic, internship, or professional) • Mid-Level: 3+ years building ML solutions • Senior-Level: 3+ years deploying and operating ML systems • Proficiency in Python (pandas, numpy, scikit-learn) and software engineering foundations • Experience with ML libraries (scikit-learn, XGBoost, LightGBM) • Experience with PyTorch/TensorFlow is a plus • SQL for data exploration and feature engineering • Knowledge of model evaluation and interpretability (e.g., SHAP)

🏖️ Benefits

• Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse • Monthly connectivity reimbursement for internet costs • Opportunity to work from home with a private workspace free from distractions • Support for innovative thinking and exploring ideas