Applied Machine Learning Engineer
Role details
Job location
Tech stack
Job description
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.
About the Role As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact. You'll work across the full ML lifecycle-including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement. Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.
What You'll Do (Responsibilities Vary by Level)
Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
Mid-Level (Senior Consultant I): Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
Senior-Level (Senior Consultant II): 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.
Technical Skills
Python (pandas, numpy, scikit-learn) and software engineering foundations.
ML libraries:
-Experience with libraries such as s cikit-learn, XGBoost, LightGBM required .
-Experience with PyTorch/TensorFlow is a plus .
SQL for data exploration and feature engineering.
Knowledge of model evaluation and interpretability (eg, 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.
Skills Applied Machine Learning, Machine Learning (ML), Machine Learning Algorithms, Model Building, Model Development, Model Evaluation, Python (Programming Language), PyTorch, Structured Query Language (SQL), Tensorflow
Benefits & conditions
Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.
The candidate(s) offered this position will be required to submit to a background investigation.
Joining our team isn't just a job - it's an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger - a winning team making a meaningful impact.
Allstate generally does not sponsor individuals for employment-based visas for this position.
Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component.
