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Senior Machine Learning Engineer

https://www.cvshealth.com/ Logo

CVS Health

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Location:
United States

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Contract Type:
Not provided

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Salary:

111240.00 - 222480.00 USD / Year
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Job Description:

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
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Additional Information:

Job Posted:
February 22, 2026

Expiration:
February 22, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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