Senior Software Development Engineer Search Machine Learning

CVS Health

About The Position

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.

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

Nice To Haves

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

Responsibilities

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.
AI Native Coding: Experience in AI driven coding include Claude Code, Copilot
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.