At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.
As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.
Position SummaryWe'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.
What You'll Do- 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.
Required Qualifications- 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.
Preferred Qualifications- 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.
Education- Bachelor's degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience).
- Master's degree preferred
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$111,240.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great peopleWe take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:
- Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
- No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
- Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
For more information, visit ;br>
We anticipate the application window for this opening will close on: 02/22/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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