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We’re looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products at CVS. In this role, you’ll work closely with Data Science, Product, Marketing, and cross-functional teams to design, deploy, and operationalize machine learning systems that power optimization, audience strategy, measurement, and business insights across our enterprise. You’ll be the engineering backbone behind our analytics and optimization engines—improving model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. As a key contributor, you’ll architect and scale production ML systems that transform first-party data and measurement signals into reliable decision engines—reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization.
Job Responsibility:
Build and automate scalable machine learning pipelines that support every stage of the campaign lifecycle—from data ingestion to analysis, insights, and activation
Deploy models on cloud platforms, ensuring reliability and efficient CI/CD for seamless integration into our products
Collaborate with Data Science, Product, Engineering, and business teams to turn prototypes into production-ready solutions, always keeping the right product vision in mind
Work across teams to deliver enterprise-grade analytics solutions that meet business needs and drive measurable impact
Set engineering standards, mentor teammates, and contribute to technical decision-making
Leverage the latest model technologies and AI advancements to keep our analytics and campaign products innovative and impactful
Requirements:
5+ years of experience as a Machine Learning Engineer
Strong Python engineering skills
Experience deploying ML models in cloud environments
Familiarity with ML pipeline tools (Airflow, Vertex AI, SageMaker, etc.)
Experience with API development and backend engineering
Understanding of model monitoring, testing, and lifecycle management
Ability to work cross-functionally with DS and product teams
Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience)
Nice to have:
Experience supporting marketing, optimization, or measurement models
Knowledge of data processing frameworks (SQL, Spark, BigQuery, etc.)
Familiarity with LLMs or modern AI tools (a plus)
Experience working in large, matrixed organizations
Master’s degree preferred
What we offer:
Affordable medical plan options
401(k) plan (including matching company contributions)
Employee stock purchase plan
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching