Applied Machine Learning Engineer (All Levels)

Allstate • McCullom Lake, IL

1d • $110,000 - $181,025 • Hybrid

About The Position

Join Allstate Technology Solutions, a pioneering force committed to revolutionizing the way our employees, agencies, and customers interact digitally. Our mission is to harness cutting-edge technology, innovative product design, and the power of artificial intelligence to create a world‑class customer experience. We aim to redefine the customer experience, ensuring consistency and operational efficiency across all touchpoints and channels. Become a part of our story. At Allstate Technology Solutions, you’ll find a collaborative and dynamic team focused on exploring new capabilities and pushing the boundaries of what’s possible. The team works in a continuous innovation cycle of ideas, research, testing, analysis, and delivery.

Requirements

• Bachelor’s degree (STEM preferred).
• Entry-Level: 0–2 years (academic, internship, or professional) experience.
• Mid-Level: 3+ years building ML solutions.
• Senior-Level: 3+ years deploying and operating ML systems.
• Python (pandas, numpy, scikit-learn) and software engineering foundations.
• Experience with libraries such as scikit-learn, XGBoost, LightGBM required.
• SQL for data exploration and feature engineering.
• Knowledge of model evaluation and interpretability (e.g., SHAP).
• Willingness to learn Terraform, Java, and Typescript (no prior experience required).
• Strong communication and collaboration abilities.
• Ability to work with technical and non-technical partners.
• Leadership and mentoring experience for senior roles.

Nice To Haves

• Experience with PyTorch/TensorFlow is a plus.
• Spark or distributed computing.
• Familiarity with APIs, containers, CI/CD, monitoring, drift detection.
• MLflow, SageMaker, Azure ML, Docker, CI/CD.
• AWS, Azure, or GCP cloud experience.
• Experience with deep learning, NLP, computer vision, or LLM/RAG.
• Prior ownership of end-to-end ML products.
• Insurance or financial services experience.

Responsibilities

• 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.
• Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices (Entry-Level).
• Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams (Mid-Level).
• Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction (Senior-Level).

Benefits

• Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse.
• Monthly connectivity reimbursement for eligible remote employees.
• Opportunity to shape the future of protection.
• Support for causes that mean the most to you.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level