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CVS Health
CVS Health
HealthcareHealthcare InsuranceRetail
CVS Health is an American healthcare company working across healthcare services, health insurance, pharmacy benefits management, and retail pharmacy. Through businesses including Aetna and CVS Caremark, it supports health coverage, prescription access, condition management, specialty medications, and mail-order pharmacy services. Its neighborhood pharmacies and broader care offerings are designed to help people access essential healthcare more conveniently and affordably. CVS Health brings together insurance, pharmacy, and health services to support individuals and communities throughout their care journeys.
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Machine Learning Engineer

Build and deploy production machine learning and generative AI solutions at CVS Health, working with large-scale systems and campaigns. Share analytics findings and solutions with stakeholders.

USUnited StatesNYNew York
$86,520 – $173,040 / year
HybridFull-timeJuniorMiddleEnglish RequiredMachine Learning Engineer
CloudGoogle Cloud PlatformPythonReactSQL

Description

  • Develop machine learning and generative AI solutions for large-scale systems and campaigns.
  • Coordinate deployment and updates with data engineering teams.
  • Present analytics findings and solutions to current and prospective stakeholders and consult with them on results.
  • Exchange specialized, complex information with internal and external colleagues and managers.

Requirements

  • At least 2 years of experience building end-to-end machine learning models and production data-intensive systems, or a PhD plus a technical internship as a machine learning engineer or software developer.
  • At least 2 years of data science experience applying software development best practices, or a PhD plus a technical internship as a machine learning engineer or software developer.
  • At least 3 years of proficiency in Python, SQL, and MLOps, or a PhD plus a technical internship as a machine learning engineer or software developer.
  • At least 3 years of experience working in cloud environments as a machine learning engineer or software developer.
  • A master’s degree in computer science, mathematics, statistics, economics, physics, engineering, or a related field, plus at least 2 years of progressively complex relevant experience; alternatively, a PhD plus a technical internship as a machine learning engineer or software developer.
  • Ability to design and build distributed, data-intensive products.
  • Proficiency in mathematical analysis, machine learning, statistical analysis, and predictive modeling, with deep expertise in one or more areas.
  • Google Cloud Platform experience preferred.
  • Familiarity with generative AI and agentic design preferred.
  • Front-end development and React coding experience preferred.
  • Ad-tech experience preferred.

Benefits

  • Medical coverage.
  • Dental coverage.
  • Vision coverage.
  • Paid time off.
  • Retirement savings options.
  • Wellness programs.
  • Resources supporting physical, emotional, and financial well-being.
  • Eligibility for a CVS Health bonus, commission, or short-term incentive program.

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