Machine Learning Engineer

CVS Health

Remote

Quick summary

Work type
Remote
Location
Irving, TX
Posted
6 days ago
Closes
Jul 6, 2026

Market check

Salary context

How this pay compares to similar roles

Similar $217k
$161k most similar roles pay here $271k

This listing doesn't post a salary. Most similar roles pay $183,665–$249,750.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 409 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 135 roles with salary data.

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At a glance

TL;DR · Machine Learning Engineer

Caremark LLC, a CVS Health company, seeks a Machine Learning Engineer in Irving, TX to design and develop enterprise ML products for data scientists, implementing pipelines, training models, and deploying solutions that meet organizational objectives. This role involves engaging with business stakeholders to translate requirements into technical solutions using industry-leading tools like Scikit-Learn, SpaCy, PyTorch, and Spark NLP, while also mentoring junior team members and collaborating closely with Data Engineers, Data Scientists, and Product Managers. The ideal candidate holds a Master’s degree in Computer Science or related fields and has experience with Java, Python, Node.js, machine learning algorithms, feature engineering, and quantitative analysis techniques such as clustering and regression. They will work on large-scale applications and data science projects to address complex business problems and predict outcomes accurately.

What you'll do

  • Design and develop enterprise ML products and platforms for data scientists.
  • Develop, test, and deploy machine learning pipelines using industry tools.
  • Apply statistical analysis and predictive modeling to extract information.
  • Engage with business stakeholders to translate requirements into technical solutions.
  • Analyze data distribution differences that impact model performance in real-world use cases.
  • Design custom algorithms and apply appropriate techniques to address business problems.
  • Visualize, interpret, and report data findings to internal clients and leadership.

What we're looking for

  • Master’s degree in Computer Science, Engineering, Data Science, Statistics, Mathematics, or related field required.
  • Experience with Java, Python, and Node.js for application development.
  • Proficiency in NLP tools like Scikit-Learn, SpaCy, Pytorch, Spark NLP.
  • Expertise in machine learning algorithms, statistical analysis, and predictive modeling.
  • Skills in feature engineering, model training, hyperparameter tuning, and distributed computing.
  • Experience contributing to large-scale data science or analytics projects.
  • Ability to develop end-to-end ML solutions and mentor junior team members.

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