Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
Come join CVS Health as a Machine Learning Engineer! This Machine Learning Engineer will work with different data from multiple sources in a distributed environment, create solutions, optimize workflows, and execute ML algorithms on data sets on a larger scale.
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Primary Job Duties & Responsibilities:
- Work closely with data scientists, software developers and product managers to take ML-powered services from inception to production.
- Lead exploration, design and execution of machine learning models and frameworks that deliver value to our users.
- Build data pipelines and leverage high-quality datasets to power your Machine learning models.
- Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models.
- Lead the performance and ongoing enhancements of your products.
- A combination of 5+ years of experience developing production-level software, or contributing to open source with one or more modern languages, such as Python, Java, etc.
- 3+ 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.)
- 3+ years of experience with developing Analytical pipelines (using languages such as SQL and PySpark) against Cloud Data Warehouses such as BigQuery, Snowflake or Redshift
- 1+ year(s) of soliciting complex requirements and managing relationships with key stakeholders.
- 1+ year(s) of experience independently managing deliverables.
- 1+ year(s) of experience with open-source experience with either Docker or Kubernetes.
Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master's Degree preferred.
Pay Range
The typical pay range for this role is:
$92,700.00 - $222,480.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company's 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off ("PTO") or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies.
For more detailed information on available benefits, please visit Benefits | CVS Health
We anticipate the application window for this opening will close on: 02/20/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.