22 hours ago
Remote, United States or USA (city not specified)Staff+
Base Salary
$110k - $181k/yr
Responsibilities
- Lead ML platform architecture and guide system design, scalability, performance, and reliability.
- Architect and build training and compute infrastructure, feature stores, model registries, inference runtimes, and data pipelines.
- Drive distributed-systems, cloud-native, and automated MLOps architecture decisions.
- Implement pipelines for experiment tracking, data and model versioning, CI/CD for ML, automated retraining, validation, deployment, and lifecycle management.
- Build monitoring and observability for model performance, data quality, drift detection, and inference reliability.
- Develop cloud-based ML infrastructure and scalable batch and streaming data pipelines.
- Embed security, compliance, responsible AI, and cost-optimization practices into platform operations.
- Collaborate with data scientists, application engineers, security, compliance, and governance teams to support production ML adoption.
- Provide technical mentorship, establish engineering standards, and contribute to documentation and platform improvements.
Requirements
- 6+ years of progressive related experience.
- Extensive experience in ML engineering, platform engineering, or large-scale distributed systems.
- Deep hands-on expertise with MLOps tools, ML frameworks, model deployment, and ML lifecycle automation.
- Strong proficiency in Python and backend development for machine learning systems.
- Experience with Azure ML Studio, AWS SageMaker, and/or Google Vertex AI.
- Exposure to Azure Fabric/OneLake, AWS S3, and Google Cloud Storage.
- Experience with cloud-native security and scanning tools such as Azure Defender, Microsoft Purview, AWS Security Hub, Amazon Inspector, or GCP Security Command Center.
- Strong understanding of Kubernetes, Docker, CI/CD, Terraform or infrastructure-as-code, system design, APIs, data pipelines, and scalable ML infrastructure patterns.
- Ability to lead technical initiatives and influence cross-team engineering decisions.
Benefits
- Compensation is offered annually based on experience and qualifications.
- Allstate provides a laptop, monitors, headset, keyboard, and mouse.
- Employees eligible to work from home receive a monthly connectivity reimbursement.
- Remote employees must have a dedicated private workspace, appropriate desk and seating, and reliable internet with minimum speeds of 50 MB download and 5 MB upload.
- Candidates must submit to a background investigation.
Tech Stack
Categories
About Allstate
Allstate is a major U.S. personal-lines insurer that sells auto, homeowners, renters, and life policies to consumers through agents and direct online channels. It earns premiums and service fees across insurance and protection products, including telematics-based programs and device/identity protection. Founded in 1931 and headquartered in Northbrook, Illinois, Allstate is publicly traded on the NYSE under the ticker ALL.