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  • Emplois similaires à : Applied Machine Learning Engineer (All Levels)
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Applied Machine Learning Engineer (All Levels)Allstate Insurance Company • Chicago, Illinois, United States
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Applied Machine Learning Engineer (All Levels)

Allstate Insurance Company
  • US
    Chicago, Illinois, United States
  • US
    Chicago, Illinois, United States
Postuler Maintenant

À propos

Allstate protects families and their belongings from life’s uncertainties. For more than 90 years, our innovative drive keeps us ahead of our customers’ evolving needs. From advocating seat belts, airbags and graduated driving laws, to leading in pricing sophistication, telematics, and device and identity protection.
Job Description Allstate Technology Solutions is a pioneering force committed to revolutionizing the way employees, agencies, and customers interact digitally. Our mission is to harness cutting‑edge technology, innovative product design, and AI to create a world‑class customer experience and redefine customer interaction across all touchpoints and channels. You’ll work in a collaborative, dynamic team focused on continuous innovation through ideas, research, testing, analysis, and delivery.
About the Role As a Machine Learning Engineer 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—and collaborate through pair programming and test‑driven development to ensure high‑quality, reliable solutions.
Responsibilities
Entry‑Level (Consultant II) : Support model development, data exploration, testing, and deployments; collaborate through pair programming and learn 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.
Education
Bachelor’s degree (STEM preferred).
Experience
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 scikit‑learn, XGBoost, LightGBM (required).
Experience with PyTorch/TensorFlow (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.
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.
Compensation Annual base salary range: $110,000.00 – $181,025.00, based on experience and qualifications.
Additional Information Background investigation required.
Allstate generally does not sponsor employment‑based visas for this position.
EEO & Diversity Statement Allstate is an equal opportunity employer. We comply with all applicable federal, state and local laws protecting employees from discrimination on the basis of age, color, disability, gender identity, national origin, sex, and other protected categories. We encourage people from all backgrounds to apply.
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  • Chicago, Illinois, United States

Compétences linguistiques

  • English
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