Machine Learning Engineer
Job Description
CVS Health, the nation's leading health solutions company, is seeking a Machine Learning Engineer to join their innovative team. This role offers a competitive salary range of $130,000 to $180,000 per year, along with comprehensive benefits including medical, dental, vision, 401(k), and equity opportunities.
The position combines cutting-edge machine learning development with practical healthcare solutions, making it an exciting opportunity for professionals passionate about using AI to transform healthcare delivery. As a Machine Learning Engineer, you'll be responsible for building, deploying, and monitoring AI/ML models that automate processes and transform data into actionable insights.
The role requires a Master's degree in Computer Science or related field and 2 years of experience with machine learning, statistical analysis, and various technical tools. You'll work with modern technologies including cloud platforms (AWS/Azure/GCP), CI/CD tools, and microservices architecture. The position offers the flexibility of remote work while being part of a purpose-driven organization with over 300,000 colleagues.
Key responsibilities include designing ML approaches, developing custom algorithms, and collaborating with cross-functional teams to drive business objectives. You'll have the opportunity to mentor junior team members and work on projects that directly impact millions of Americans' healthcare experience.
CVS Health offers an inclusive culture focused on transforming healthcare, making this an ideal role for someone who wants to combine technical expertise with meaningful impact. The company provides extensive professional development opportunities, including education assistance and free development courses, along with competitive compensation and comprehensive benefits.
Responsibilities For Machine Learning Engineer
- Build, deploy, and monitor AI/ML models to automate processes
- Design, develop, and implement enterprise ML products and platforms
- Develop, test, and deploy ML pipelines
- Apply data modeling and statistical analysis to extract information
- Research, experiment with, implement, train, and re-train ML algorithms
- Engage with business stakeholders to translate requirements into technical solutions
- Analyze data and identify differences in data distribution
- Design ML approach and develop custom algorithms
- Apply sampling techniques and investigate adversarial trends
- Compare models using statistical performance metrics
- Visualize, interpret, and report data findings
- Mentor junior team members
- Collaborate with Data Engineers, Data Scientists, and Product Managers
Requirements For Machine Learning Engineer
- Master's degree in Computer Science, Information Systems Management, Engineering, Information Technology, or related field
- 2 years experience with Machine Learning, statistical analysis and predictive modeling
- 2 years experience with Quantitative analysis techniques
- 2 years experience with ETL processes
- 2 years experience with Cloud technologies: AWS, Azure, or GCP
- 2 years experience with CI/CD, Jenkins, GIT, or DevOps
- 2 years experience with Springboot Microservices development
- 2 years experience with XML, JSON, HTML, CSS, or JavaScript
- 2 years experience with Java and J2EE
- 2 years experience with MySQL
Benefits For Machine Learning Engineer
- Medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- Life insurance plan
- Short-term and long-term disability benefits
- Well-being programs
- Education assistance
- Free development courses
- CVS store discount
- Paid Time Off (PTO)
- Paid holidays
- Bonus program
- Equity awards
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