Senior ML Systems Engineer - Personalization Platform

9025 CVS Shared Services Resources LLC; New York (NY); Hybrid; USD 144,000 - 288,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Job summary

CVS Health is seeking a Principal Machine Learning Engineer to lead a large-scale personalization and decisioning platform. You will design, build, and operate production ML systems, guiding architecture, data contracts, and feature stores.

You will mentor engineers, set standards, and drive scalable solutions across the stack. You will partner with data engineering, MLOps, and product teams to ensure models are accurate, observable, and safe to change, with strong emphasis on reliability and

Qualifications

• 7+ years of software, ML, or data engineering experience, with production backend systems
• 5+ years building/owning machine learning systems in production
• Expert-level Python and SQL; strong API and distributed systems knowledge
• Experience architecting scalable backend systems (microservices, REST APIs, batch/streaming pipelines) in cloud environments
• Hands-on containerization/orchestration and ML/data pipeline orchestration tools

Responsibilities

• Architect and build scalable, production-grade backend services (APIs, microservices, batch/streaming pipelines) for ML decisions
• Design data contracts between data engineering, model training, and production serving
• Own versioned feature stores and point-in-time lookup APIs for training and real-time inference
• Design and optimize large-scale distributed workflows with tight SLAs
• Make build-vs-buy decisions and document durable architectural choices

Skills

7+ years software/ML experience

Production backend systems

Python

SQL

Education

Bachelor's degree in Computer Science or related field

Master's degree preferred

Tools

Docker

Kubernetes

Kubeflow

Airflow

Cloud platforms (Azure/AWS/GCP)

Job description

CVS Health is seeking a Principal Machine Learning Engineer to lead a large-scale personalization and decisioning platform. You will design, build, and operate production ML systems, guiding architecture, data contracts, and feature stores.

You will mentor engineers, set standards, and drive scalable solutions across the stack. You will partner with data engineering, MLOps, and product teams to ensure models are accurate, observable, and safe to change, with strong emphasis on reliability and