Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Cvshealth. New York · full-time · $86,520–$173,040 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning and generative AI systems for large-scale use, then coordinate their launch and updates with data engineering
- Present analytics findings and proposed solutions to current and potential stakeholders
- Exchange detailed technical information with colleagues and managers inside and outside the organization
What you bring
- You have at least two years building production machine learning models and data-heavy systems, or a qualifying PhD internship
- You bring at least two years of data science experience grounded in software development practices, or a qualifying PhD internship
- You have three or more years using Python, SQL and MLOps, or a qualifying PhD internship
- You have a master's in a listed quantitative or technical field and related experience, or a PhD with a qualifying internship
Who this fits
This mid-level role suits someone who builds and deploys machine learning systems and can explain analytical results to stakeholders. It is based in New York and hybrid, with a full-time schedule of forty hours per week.
From the employer
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Key Responsibilities
- Build and facilitate machine learning and Generative AI solutions across large-scale systems and campaigns, ensuring deployment and updates in collaboration with data engineering.
- Develop and participate in presentations and consultations to existing and prospective stakeholders on analytics results and solutions.
- Collaborate with internal and external peers and managers to exchange complex information related to areas of specialization.
Required Qualifications
- Experience in building end-to-end machine learning models and data-intensive systems in production (2 or more years or PhD with a tech internship as MLE/Software Developer).
- Strong background in Data Science with a focus on software development best practices (2 or more years or PhD with a tech internship as MLE/Software Developer).
- Proficiency in Python, SQL, and MLOps (3 or more years or PhD with a tech internship as MLE/Software Developer).
- Experience in cloud environments (3 or more years as MLE/Software Developer).
Preferred Qualifications
- Demonstrated ability to design and build distributed data-intensive products; front-end development and coding in React is a plus.
- Experience with Google Cloud Platform (GCP) (2 or more years) is a major plus.
- Familiarity with Generative AI and agentic design is a plus.
- Proficiency in mathematical analysis methods, machine learning, statistical analyses, and predictive modeling, with in-depth specialization in certain areas.
- Experience in Ad-tech is a plus.
Education
- Master’s degree in Computer Science, Mathematics, Statistics, Economics, Physics, Engineering, or a related discipline, with 2 or more years of progressively complex related experience (or PhD with a tech internship as MLE/Software Developer).
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$86,520.00 - $173,040.00This 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.
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.