Applied ML Engineer: Build & Deploy Real-World Models

Allstate; United States; On-site; USD 110,000 - 181,025; Full time

Job summary

Allstate is seeking a Machine Learning Engineer to design, build, and operate ML models across the full lifecycle, from data exploration to deployment and monitoring. You will collaborate with cross‑functional teams and practice pair programming and test‑driven development to deliver high‑quality solutions.

The role offers growth across entry to senior levels, with opportunities to mentor, lead ML initiatives, and influence technical direction in a large insurance technology organization.

Qualifications

• Bachelor’s degree in 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.

Responsibilities

• Entry-Level: Support model development, data exploration, testing, and deployments; collaborate through pair programming and learning best practices.
• Mid-Level: Build and deploy production ML models, own key components of ML projects, and partner with cross-functional teams.
• Senior-Level: Lead end-to-end ML initiatives, architect ML pipelines, mentor junior engineers, and influence technical direction.

Skills

Python

Pandas

NumPy

Scikit-learn

SQL

PyTorch

TensorFlow

SHAP

Terraform

Java

TypeScript

Communication

Education

Bachelor's degree in STEM

Tools

Docker

CI/CD

MLflow

SageMaker

Azure ML

Kubernetes

Spark

Terraform

AWS

GCP

Azure

Job description

Allstate is seeking a Machine Learning Engineer to design, build, and operate ML models across the full lifecycle, from data exploration to deployment and monitoring. You will collaborate with cross‑functional teams and practice pair programming and test‑driven development to deliver high‑quality solutions.

The role offers growth across entry to senior levels, with opportunities to mentor, lead ML initiatives, and influence technical direction in a large insurance technology organization.