Senior Machine Learning Engineer
for section headings like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections when posting has real specific content. We must not repeat job title. Must not include Job ID etc. Remove boilerplate. Preserve all substantive info. No invented content. We need to parse the posting. Content: Intro: "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. Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you’ll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job." That's about the role description. Could be "About the role" section. Then "What You’ll Do" bullet list (actually sentences). We'll put under Responsibilities. Then "What We’re Looking For" includes Must-Have and Preferred, Education, etc. That's Requirements/Qualifications/Skills. Then "Anticipated Weekly Hours 40" -> Schedule. "Time Type Full time" -> maybe also Schedule. "Pay Range The Typical Pay Range For This Role Is $111,240.00 - $222,480.00" -> Pay. "Our people fuel our future..." etc is boilerplate EEO? Might be considered boilerplate; we should remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate. That paragraph about "Our people fuel our future..." seems like generic diversity statement; likely boilerplate. Remove. "Great Benefits For Great People ..." includes benefits description. That's Benefits section. "We anticipate the application window for this opening will close on: 10/18/2026" -> maybe metadata; could be dropped? It's not required but could be considered minor metadata; we can drop or put in short p. The instruction: do NOT put Job ID / requisition numbers as headings — fold minor metadata into a short
or drop it. So we could include a short p for application window close date, but maybe better to drop as it's minor. However we need to preserve ALL substantive information; is application window substantive? Might be considered metadata but still info. The instruction says fold minor metadata into a short
or drop it. So we can include a short p. "Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws." That's EEO boilerplate; remove. Now we need to decide sections. We have: - About the role (intro paragraph) - Responsibilities (What You’ll Do) - Requirements (Must-Have, Preferred, Education) - Skills maybe separate? Could combine with Requirements. But we can have Requirements and Skills separate if there is distinct content. The Must-Have includes experience, Python, frameworks, SQL, leading design, background in RL etc. Preferred includes full-stack, distributed modeling. Education includes Bachelor's, Master's preferred. Could treat as Requirements. - Benefits (Great Benefits...) - Pay (Pay Range) - Schedule (Anticipated Weekly Hours 40, Time Type Full time) We should not create sections with filler like "commensurate with experience". Not present. Now we need to output HTML fragment only, no /, no markdown fences. We'll produce something like:
About the role
... intro paragraph(s) ...
Responsibilities
- 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 CICD 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.
Requirements
- 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 Skills
- 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
Benefits
- Medical, dental, and vision coverage
- Paid time off
- Retirement savings options
- Wellness programs
- Other resources based on eligibility
The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.
But we need to avoid duplication: we have both list and paragraph. Better to just have paragraph describing benefits; but rule: Use- for any list of duties/requirements/benefits, and
for prose. So if we have a list of benefits, we should use
- . The benefits description includes list items; we can make a list.
We have also a sentence about additional details; that can be a
- 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 CICD 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.
- 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
. Now Pay:
Pay
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.
Schedule:Schedule
Anticipated Weekly Hours: 40. Time Type: Full time.
Application window date maybe as a short p:Application window closes: 10/18/2026.
Now ensure we didn't repeat job title. Good. Check for any boilerplate left: We removed diversity statement, EEO, etc. The "Our people fuel our future..." removed. Good. Check for any duplicated lines: Not. Now ensure we didn't invent content. All content taken from posting. Check that we didn't include any "commensurate with experience" etc. Not present. Now output only HTML fragment. Let's craft final HTML. We need to ensure proper nesting: each section headingfollowed by content. We'll produce:
About the role
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. Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you’ll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.
Responsibilities
Requirements