Applied Machine Learning Engineer (All Levels)

Allstate is a pioneering force committed to revolutionizing customer interactions through technology. As a Machine Learning Engineer, you will design, build, and operate machine-learning models, working across the full ML lifecycle to deliver impactful solutions.

Responsibilities:

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

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
• 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)
• Strong communication and collaboration abilities
• Ability to work with technical and non-technical partners
• Leadership and mentoring experience for senior roles
• 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