Machine Learning Engineer, CVS Health

CVS Health

Location:
United States

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

64890.00 - 173040.00 USD / Year

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Job Description:

Machine Learning Engineer to support extensive production modeling efforts at CVS Health/Oak Street Health. Will design, develop, test and expand internal tools that enable Data Science teams to build, deploy and monitor models more effectively and efficiently. Will leverage both programming and problem-solving skills to improve model building and hosting pipelines.

Job Responsibility:

Design, develop, and implement machine learning pipelines in collaboration with Data Science teams
Maintain and enhance best practices through code development and testing, ML model validation, and automation of tests and deployments
Collaborate with Data Science, Product, Engineering, and Business partners to deploy effective and efficient state-of-the-art machine learning models that address OSH operational needs
Support the full MLOps lifecycle, including external data integration, data validation, model scaling, and prediction monitoring
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver ML models at scale
Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML practices adhere to Responsible and Explainable AI guidelines
Independently pursue and implement solutions to complex problems

Requirements:

1+ years of experience building, scaling, and optimizing machine learning systems
1+ years of experience programming with one or more modern languages, such as Python, C++, Java, etc.
1+ 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.)
A degree in Computer Science, Mathematics, Statistics, or another quantitative discipline OR 3+ years of direct experience
Strong background in the foundations of machine learning and model serving
Proficiency with Python and ML frameworks such as Scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Track record of building ETL or ML model-serving pipelines
Ability to scale a data scientist's code into production-ready packages integrated into core OSH services
Strong communication and interpersonal skills with the ability to deliver complex topics to all familiarity levels
US work authorization
Growth mindset and willingness to learn

Nice to have:

Experience working with clinical or medical data
1+ years of experience developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift using Python, SQL or PySpark
Experience packaging Python code into distributable & deployable packages
Experience with at least one major cloud platform (Azure, GCP, AWS)
Experience with Databricks
Hands-on experience with NLP or generative-AI techniques

What we offer:

Affordable medical plan options
401(k) plan with matching company contributions
Employee stock purchase plan
Wellness screenings
Tobacco cessation programs
Weight management programs
Confidential counseling
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:
August 30, 2025

Expiration:
September 12, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Machine Learning Engineer