Machine Learning Engineer

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. Come join CVS Health as a Machine Learning Engineer! This Machine Learning Engineer will work with data from multiple sources in a distributed environment, create solutions, optimize workflows, and execute ML algorithms on data sets on a larger scale. Primary Job Duties & Responsibilities: Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production. Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users. Build data pipelines and leverage high-quality datasets to power your Machine learning models. Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models. Lead the performance and ongoing enhancements of your products. Essential Qualifications: A combination of 2+ years of experience developing production-level software, or contributing to open source with one or more languages, such as Python, R, Java, etc. 2+ years of experience with common ML libraries (i.e., Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e., clustering, decision trees, boosting, etc.) 2+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders. 1+ year(s) of experience independently managing deliverables. 1+ year(s) of experience with open-source experience with either Docker or Kubernetes. Knowledge of CI/CD practices and tools, including Jenkins, GitLab or GitHub to automate the deployment and testing of machine learning models, ensuring rapid and reliable updates.

Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $72,100.00 - $144,200.00 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 people We 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: 08/29/2026 Qualified applicants