Senior Machine Learning Engineer

CVS Health

New York (NY)

On-site

USD 111,000 - 222,000

Full time

4 days ago

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Benefits offered by this job

medical coverage

dental coverage

vision coverage

paid time off

retirement savings options

wellness programs

other resources

Job summary

CVS Health is seeking a Senior Machine Learning Engineer to architect and scale ML pipelines, delivering production-ready models that advance personalization and marketing optimization across the business. You will collaborate with data science, engineering, and product teams to deploy high-impact ML solutions affecting millions of customers.

Applicants should have 3+ years in production ML, 3+ years Python with frameworks, and strong leadership with mentoring capabilities.

Qualifications

3+ years hands-on ML in production environments.
3+ years Python programming with ML frameworks and MLOps platforms.
2+ years SQL with large-scale data warehouses.
2+ years leading design and architecture of systems.
Strong background in RL, causal inference or Agentic AI.
Experience as a mentor or tech lead.
Ability to work cross-functionally with strong communication.
Solid backend Python APIs and data modeling.

Responsibilities

Architect, design, build, and test ML pipelines end-to-end for personalization and marketing optimization.
Implement CI/CD for ML including testing, versioning, monitoring, and production orchestration.
Lead design of Agentic AI solutions for marketing workflow automation and ML infra optimization.
Collaborate with DS, Engineering, and business teams to turn prototypes into production-ready solutions.
Provide technical leadership and mentor engineers and data scientists; influence ML roadmap.

Skills

ML production experience

Python programming

SQL experience

Design & architecture leadership

Reinforcement learning / Agentic AI

Mentor / tech lead

Cross-functional collaboration

Backend engineering with Python APIs

Education

Bachelor's degree in CS/Engineering or related

Master's degree preferred

Tools

PyTorch

TensorFlow

Kubeflow

Vertex

Snowflake

BigQuery

Job description

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.

At CVS Health, we’re reshaping the future of Personalization through AI-driven optimization and decision-making to better serve millions of customers nationwide. We’re looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you’ll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases.

What You’ll Do

Architect, design, build, and test end-to-end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive Personalization and Marketing optimization and automation including customer targeting, content recommendation, frequency optimization, propensity, uplift and LTV models etc.
Implement CI/CD for ML including automated testing, model versioning, monitoring, and orchestration for models in production.
Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes.
Provide technical leadership on complex projects. Mentor other engineers and data scientists in best practices, code quality, and scalable architecture. Influence our ML and data roadmap.

What We’re Looking For Must-Have

3+ years of hands‑on experience developing machine learning systems in production environment
3+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
2+ years of SQL experience working with large‑scale data (e.g., Snowflake, BigQuery)
2+ years of leading design and architecture of new and existing system experience
Strong background in one or more of the following: reinforcement learning, causal inference, Agentic architecture
Experience as a mentor or tech lead
Ability to work and influence cross‑functionally with strong communication skills
Solid backend engineering skills in Python, including APIs and data modeling

Preferred

Proficiency with full‑stack framework (e.g, Node.js, React)
Experience with distributed modeling

Education

Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or equivalent experience)
Master’s degree preferred

Anticipated Weekly Hours: 40

Time Type: Full time

Pay Range

The Typical Pay Range For This Role Is $111,240.00 - $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.

Great Benefits For Great People