About the RoleAt CVS Health, we're reshaping the future of CRM Marketing through AI-driven optimization and decision-making to better serve millions of customers nationwide. We're looking for a
Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you'll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases.
Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you'll architect, develop, deploy, and operationalize 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. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows.
If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.
What You'll Do- Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive CRM Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc.
- Implement CICD for ML including automated testing, model versioning, monitoring, and orchestration for models in production
- Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
- Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
- Provide technical leadership on complex projects. Mentor other engineers and data scientists in best practices, code quality, and scalable architecture. Influence our ML and data roadmap.
What We're Looking ForMust-Have- 5+ years of hands-on experience developing machine learning systems in production environment
- 5+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
- 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
- 2+ years of leading design and architecture of new and existing system experience
- Strong background in one or more of the following: reinforcement learning, causal inference, LLM, MCP
- Experience as a mentor or tech lead
- Ability to work and influence cross-functionally with strong communication skills
Preferred- Proficiency with full-stack framework (e.g, Node.js, React)
- Experience with real time scoring using tools like Spark, Kafka, Airflow
- Solid backend engineering skills in Python, including APIs and data modeling
- A/B testing and experimentation experience
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.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/19/2026
