Senior Machine Learning Engineer

Start free →

Or apply yourself on the official page →

About the role

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. At CVS Health, we’re reshaping the future of Personalization 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 Personalization and 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 • 3+ years of hands-on experience developing machine learning systems in productionenvironment • 3+ 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, Agentic architecture • Experience as a mentor or tech lead • Ability to work and influence cross-functionally with strong communication skills • Solid backend engineering skills in Python, including APIs and data modeling Preferred • Proficiency with full-stack framework (e.g, Node.js, React) • Experience with distributed modeling Education • Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience) • Master’s degree preferred Anticipated Weekly Hours 40 Time Type Full time Pay Rang

View the official posting →