The Senior Software Development Engineer Search Machine Learning

CVS Health; California (MO); Hybrid; USD 93,000 - 204,000; Full time

Job summary

CVS Health is seeking a Senior Software Development Engineer for Search Machine Learning to guide large-scale search initiatives that help millions of members discover providers and care options.

You will lead teams, build high-impact search capabilities, apply ML for relevance, and collaborate with product managers and engineers to deliver reliable, scalable search solutions.

Qualifications

• 5+ years of professional software engineering experience with depth in search or data-intensive systems.
• 3+ years in Information Retrieval concepts, including inverted indexes, scoring models, relevance tuning.
• Demonstrated execution excellence, from design through production support.
• Growth mindset with a track record of mentoring engineers and raising technical standards.
• Experience with AI-driven coding tools such as Claude Code and Copilot.

Responsibilities

• Develop and optimize search algorithms and systems (Elastic/OpenSearch).
• Fine-tune search relevance using machine learning techniques.
• Explore and integrate RAG and LLMs to enhance search capabilities.
• Analyze search data to drive improvements and optimization strategies.
• Collaborate with product managers, engineers, and stakeholders to deliver impactful results.

Skills

Search engineering

Python

AI/ML concepts

Information Retrieval

Mentoring engineers

Education

Bachelor's degree or equivalent experience

Tools

OpenSearch

Elasticsearch

Solr

Claude Code

Copilot

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.

A Brief Overview

Evolve the Find Care experience at Aetna (CVS Health). The Senior Software Development Engineer Search Machine Learning is ideal for a seasoned search engineer with a strong grasp of large-scale information retrieval, relevance, ranking, and platform reliability. You will guide teams building high-impact search capabilities that help millions of members efficiently discover providers and care options.

What you will do

• Develop and implement advanced search solutions: Lead the development and optimization of search algorithms and systems utilizing technologies such as Elastic/OpenSearch
• Fine-tune search relevance: Apply machine learning techniques, including classification and ranking models, to significantly improve the relevance of search results.
• Explore and implement cutting-edge technologies: Contribute to the exploration and integration of Agentic Solutions, Retrieval-Augmented Generation (RAG), and Large Language Models (LLMs) to enhance search capabilities.
• Analyze search data: Perform in-depth analysis of search queries, user behavior, and search performance metrics to identify areas for improvement and inform optimization strategies.
• Collaborate with cross-functional teams: Partner with product managers, engineers, and business stakeholders to understand search requirements, develop solutions, and deliver impactful results.
• Develop and evaluate analytical models: Utilize strong knowledge of algorithms and predictive models to investigate search-related problems, detect patterns, and recommend data-driven solutions.
• Utilize programming skills: Leverage strong programming skills in Python to explore, examine, and interpret large volumes of search data.
• Communicate technical concepts: Effectively communicate complex technical concepts and implications to both technical and non-technical audiences.

Minimum Requirements

• 5+ years of professional software engineering experience, with significant depth in search or data-intensive systems
• 3+ years of experience in: Information Retrieval concepts (inverted indexes, scoring models, relevance tuning) Query understanding, Relevancy and Ranking
• Demonstrated execution excellence, from design through production support
• Growth mindset with a track record of mentoring engineers and raising technical standards
• Experience in AI driven coding include Claude Code, Copilot

Preferred Qualifications

• 3+ years of experience in: Information Retrieval concepts (inverted indexes, scoring models, relevance tuning) Query understanding, Relevancy and Ranking
• Experience with Search platforms: OpenSearch, Elasticsearch, and/or Solr

Education

• Bachelor's degree or equivalent experience (Highschool diploma plus 4 years relevant work experience)

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $203,940.00

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.

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.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. 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.

We anticipate the application window for this opening will close on: 10/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.