Allstate

Allstate

Applied Machine Learning Engineer (All Levels)

USA - IL (Remote) · Internship

No sponsorship$110k-$181kDetected 7 days ago
TypeScriptPythonJavaAlgorithmsSQLAWSGCPAzureDockerTerraformCI/CDMachine LearningDeep LearningTensorFlowPyTorchscikit-learnPandasNumPySparkNLPComputer VisionLLMsMLOpsResearch

About the role

  • Our team emphasizes pair programming and test-driven development to ensure high-quality, reliable solutions.

Responsibilities

  • Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
  • Entry-Level (Consultant II): Support model development, data exploration, testing, and deployments

Requirements

  • When working from home, you must have a dedicated, private workspace free from distractions, along with appropriate desk and seating.
  • Reliable internet is required, with minimum speeds of 50 MB download and 5 MB upload.

Nice to have

  • 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.
  • Prior ownership of end-to-end ML products.
  • Insurance or financial services experience.
  • 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.

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 (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.
  • Compensation

Compensation

  • Compensation offered for this role is 110,000.00 - 181,025.00 annually and is based on experience and qualifications.
  • This policy applies to all aspects of the employment relationship, including, but not limited to, hiring, training, salary administration, promotion, job assignment, benefits, discipline, and separation of employment.

Benefits

  • Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
  • As a Machine Learning Engineer at Allstate, you will design, build, and operate machine-learning models that deliver real business impact.
  • This poster summarizing the major provisions of the Family and Medical Leave Act (FMLA) and telling employees how to file a complaint.
  • Employees eligible to work from home also receive a monthly connectivity reimbursement to help offset internet costs.

Company info

  • And for more than 90 years, our innovative drive has kept us a step ahead of our customers' evolving needs.
  • 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.
  • Become a part of our story.

Equal opportunity

  • To view the "EEO Know Your Rights" poster click " here ".

Visa & Work Authorization

  • Allstate generally does not sponsor individuals for employment-based visas for this position
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This listing is sourced directly from Allstate's careers page and normalized into a canonical job model.