Applied Machine Learning Engineer (All Levels)

About the role

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.

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

• Entry-Level (Consultant II): 0–2 years (academic, internship, or professional).
• Mid-Level (Senior Consultant I): 3+ years building ML solutions.
• Senior-Level (Senior Consultant II): 3+ years deploying and operating ML systems.

Qualifications

• Bachelor’s degree (STEM preferred).

Skills

• Python (pandas, numpy, scikit-learn) and software engineering foundations.
• ML libraries: Experience with libraries such as scikit-learn, XGBoost, LightGBM required. Experience with PyTorch/TensorFlow is a plus.
• 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).

Soft Skills

• 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.

Pay

Compensation offered for this role is $110,000.00 - $181,250.00 annually and is based on experience and qualifications.