Applied Machine Learning Engineer

Allstate

Remote

Quick summary

Work type
Remote
Location
IL
Salary
$110,000–$181,025 / yr
Posted
3 days ago
Nearby
61 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $217k
This role $146k
$92k most similar roles pay here $282k

This role pays less than 93% of similar roles. Most pay $184,150–$249,750 — the shaded band above. At the midpoint, this role pays about $146k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Allstate

The Allstate Corporation is one of the largest publicly held personal lines insurers in the US, widely recognized for its "You're In Good Hands With Allstate®" slogan.

Allstate currently has 33 open roles on FindRole.

Listed pay typically runs $100,000–$170,500 across 32 roles with salary data.

Most-posted roles

View all roles at Allstate

At a glance

TL;DR · Applied Machine Learning Engineer

Role Posting Log in to save

As a Machine Learning Engineer at Allstate Technology Solutions, you will join a dynamic team dedicated to leveraging cutting-edge technology to enhance customer experiences across various touchpoints. Depending on your seniority level—ranging from Entry-Level (Consultant II) to Senior-Level (Senior Consultant II)—you will engage in the full machine learning lifecycle, including data exploration, feature engineering, model building, deployment, and monitoring. You’ll work with Python libraries such as pandas, numpy, scikit-learn, XGBoost, LightGBM, PyTorch, and TensorFlow, alongside SQL for data manipulation. The role emphasizes collaboration through pair programming and test-driven development to ensure high-quality solutions. Additionally, experience in cloud platforms like AWS, Azure, or GCP, along with knowledge of tools such as MLflow, SageMaker, Docker, and CI/CD pipelines, is highly valued.

Skills

Python scikit-learn XGBoost LightGBM PyTorch TensorFlow SQL SHAP Terraform Java TypeScript Spark Docker CI/CD MLflow SageMaker AWS Azure GCP APIs Containers

What you'll do

  • Design and build machine-learning models to deliver real business impact.
  • Operate ML models through the full lifecycle including deployment and monitoring.
  • Collaborate with cross-functional teams to own key components of ML projects.
  • Mentor junior engineers and influence technical direction in senior roles.
  • Use Python, SQL, and ML libraries like scikit-learn for model development.

What we're looking for

  • Bachelor’s degree in STEM field required.
  • 3+ years of hands-on ML solution development (mid/senior level).
  • Proficiency in Python with libraries like scikit-learn, XGBoost, LightGBM.
  • Experience with SQL for data exploration and feature engineering.
  • Knowledge of model evaluation techniques and interpretability tools.
  • Strong communication and collaboration skills across technical/non-technical teams.
  • Willingness to learn Terraform, Java, and Typescript.

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