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# Machine Learning Engineer

- **Company:** CVS Health
- **Location:** United States (Remote available)
- **Salary:** $96,034.0 - $144,200.0
- **Contract:** Internship / Graduate position
- **Skills:** Java (Programming Language), Data Analysis, Computer Engineering, Python (Programming Language), Machine Learning, Node.Js, Pattern Recognition, Enterprise Software Applications, Feature Engineering, Pytorch, Apache Spark, Scikit Learn, Information Technology, Data Analytics, Unsupervised Learning
- **Published:** June 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=10773512ef4ea5dd

## About the Role

Do you have experience in Unsupervised learning?, Do you have a Master's degree?, Feature engineering, model training, hyperparameter tuning, distributed model training, and supervised and unsupervised learning implementation; Quantitative analysis techniques, including clustering, regression, and pattern recognition; Contributing to large-scale applications development, data science, or data analytics projects; and Developing data science products. Pay Range: $96034.00/year to $144200.00/year.

## Description

techniques and investigate adversarial trends, identify behavior patterns, and respond with logic changes; compare models using statistical performance metrics and ensure accuracy of business metrics; visualize, interpret, and report data findings to internal clients and leadership; mentor junior team members; and collaborate with Data Engineers, Data Scientists, and Product Managers to drive towards business objectives and key performance indicators (KPIs). Telecommuting available. Multiple positions. Requirements: Master's degree (or foreign equivalent) in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, Data Science, Statistics, Mathematics, Analytics, or a related field and completion of a university-level course, research project, internship, or thesis in each of the following: Java, Python, or Node.js; NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP); Machine learning, statistical analysis, and predictive modeling; Machine learning algorithms


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