Applied Machine Learning Engineer – All Levels

Allstate

As a Machine Learning Engineer at Allstate, design and operate models impacting real business outcomes. Work collaboratively across the ML lifecycle to enhance customer experience through AI.

Posted 7/15/2026full-timeRemote • Illinois • 🇺🇸 United StatesJuniorMid-Level💰 $110,000 - $181,025 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying machine-learning models across the full ML lifecycle, with a strong foundation in Python and relevant ML libraries. Capable of mentoring junior engineers and leading end-to-end ML initiatives while ensuring high-quality solutions through pair programming and test-driven development.

Highest-signal resume keywords

Python ProficiencyMachine Learning Model DevelopmentModel Evaluation and InterpretabilitySQL for Data ExplorationExperience with ML Libraries

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPandasNumpyScikit-LearnXGBoostLightGBMPyTorchTensorFlowSQLFeature Engineering

Soft Skills

MentoringCollaborationProblem-Solving

Certifications & Qualifications

Bachelor's Degree (STEM Preferred)

Industry Keywords

Machine LearningModel DeploymentTest-Driven DevelopmentData ExplorationModel Monitoring

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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
Emphasize pair programming and test-driven development to ensure high-quality, reliable solutions
Support model development, testing, and deployments as an entry-level engineer
Build and deploy production ML models as a mid-level engineer
Lead end-to-end ML initiatives and mentor junior engineers as a senior-level engineer

Requirements

What you’ll need

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
Proficiency in Python (pandas, numpy, scikit-learn) and software engineering foundations
Experience with ML libraries (scikit-learn, XGBoost, LightGBM)
Experience with PyTorch/TensorFlow is a plus
SQL for data exploration and feature engineering
Knowledge of model evaluation and interpretability (e.g., SHAP)

Benefits

Comp & perks

Comprehensive technology setup including laptop, monitors, headset, keyboard, and mouse
Monthly connectivity reimbursement for internet costs
Opportunity to work from home with a private workspace free from distractions
Support for innovative thinking and exploring ideas