Applied Machine Learning Engineer (All Levels) at Allstate in Remote

Summary: 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Machine Learning, Python, Model Building Important Skills: SQL, ML libraries Nice-to-Have Skills: communication, Collaboration abilities, Leadership experience