Applied Machine Learning Engineer (all Levels)

Allstate

Base: $110,000.00 - $181,025.00 annually; bonus/eq...
Not specified (likely hybrid based on industry trends)
Python programming with pandas and numpy
Scikit-learn and xgboost library experience
Lightgbm machine learning framework usage
Allstate is seeking an Applied Machine Learning Engineer at various levels to join their Technology Solutions team, focusing on revolutionizing customer interactions through innovative digital solutions. The role entails designing and operating machine-learning models across the ML lifecycle, emphasizing collaboration and continuous improvement

Job Summary

  • The role involves designing, building, and operating machine-learning models that deliver real business impact within a collaborative team environment.
  • Candidates will work across the full ML lifecycle including data exploration, feature engineering, model building, deployment, monitoring, and ongoing improvement.
  • The position offers a continuous innovation cycle of ideas, research, testing, analysis, and delivery to redefine the customer experience.

Matching Summary

Match Score: 75

Allstate is seeking an Applied Machine Learning Engineer at various levels to join their Technology Solutions team, focusing on revolutionizing customer interactions through innovative digital solutions. The role entails designing and operating machine-learning models across the ML lifecycle, emphasizing collaboration and continuous improvement.

Salary

Base: $110,000.00 - $181,025.00 annually; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python programming with pandas and numpy
  • Scikit-learn and XGBoost library experience
  • LightGBM machine learning framework usage
  • SQL for data exploration and feature engineering
  • Model evaluation and interpretability knowledge

Nice-to-have

  • PyTorch or TensorFlow deep learning experience
  • Spark or distributed computing familiarity
  • APIs, containers, CI/CD, and monitoring knowledge
  • MLflow, SageMaker, Azure ML, Docker expertise
  • AWS, Azure, or GCP cloud platform experience

Key Requirements

  • Bachelor's degree in STEM preferred
  • 0-2 years experience for Entry-Level roles
  • 3+ years building ML solutions for Mid-Level
  • 3+ years deploying ML systems for Senior-Level
  • Willingness to learn Terraform, Java, and Typescript

Work Rights

Not specified

Tailored Resume

Cover Letter