Machine Learning Platform Engineer

Allstate

Multiple Locations
Base: $90,700.00 - $135,000.00 annually; bonus/equ...
Mlops tooling
Cloud-native infrastructure
Model lifecycle automation
Design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment

Job Summary

  • Design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment.
  • Develop cloud-native, distributed systems and CI/CD pipelines that ensure reliable, reproducible, and continuously delivered ML model deployments.
  • Collaborate with data scientists and applied ML teams to translate modeling needs into robust, reusable, and self-service platform capabilities.

Matching Summary

Design, build, and scale the foundational platforms that power enterprise-wide machine learning development and deployment.

Salary

Base: $90,700.00 - $135,000.00 annually; Bonus/Equity: Incentive pay applicable; Benefits: Not specified

Skills & Requirements

Must-have

  • MLOps tooling
  • cloud-native infrastructure
  • model lifecycle automation
  • scalable ML systems
  • Python
  • Kubernetes
  • Docker
  • CI/CD
  • Terraform

Nice-to-have

  • responsible AI
  • data protection standards
  • developer productivity
  • continuous improvement

Key Requirements

  • 4+ years of experience in ML engineering, platform engineering, or equivalent
  • Strong software engineering background
  • Hands-on experience with machine learning workflows
  • Proficiency in Python
  • Experience with cloud platforms and ML services (Azure, AWS, GCP)
  • Experience with cloud storage/data
  • Experience with cloud-native scanning and security tools

Work Rights

Not specified

Tailored Resume

Cover Letter