Senior Search ML Engineer — OpenSearch & AI

CVS Health; Connecticut; Hybrid; USD 93,000 - 204,000; Full time

Benefits offered by this job

Bonus program

Benefits package

Job summary

CVS Health is seeking a Senior Software Development Engineer focused on search and machine learning. You will lead the development of high-impact search capabilities to help millions of members discover providers and care options.

Responsibilities include optimizing search algorithms, refining relevance with ML models, and exploring cutting-edge tech such as RAG and LLMs. Strong Python and IR background required, with collaboration across product and engineering teams.

Qualifications

• 5+ years of professional software engineering with focus on search or data-intensive systems.
• Experience in information retrieval concepts and ranking.
• Proficiency in Python and machine learning for search.
• Ability to mentor engineers and collaborate with cross-functional teams.
• Experience with AI-driven coding tools is a plus.

Responsibilities

• Develop and optimize search algorithms and systems using Elastic/OpenSearch.
• Fine-tune search relevance with classification and ranking models.
• Explore Agentic Solutions, RAG, and LLMs to enhance search capabilities.
• Analyze search data and performance metrics to drive improvements.
• Collaborate with product managers, engineers, and stakeholders to deliver results.
• Develop predictive models to investigate search-related problems and patterns.
• Leverage Python to examine large volumes of search data and communicate findings.

Skills

Python

Information Retrieval

Ranking models

Machine Learning

LLMs

Education

Bachelor's degree or equivalent experience

Tools

OpenSearch

Elasticsearch

Solr

Job description

CVS Health is seeking a Senior Software Development Engineer focused on search and machine learning. You will lead the development of high-impact search capabilities to help millions of members discover providers and care options.

Responsibilities include optimizing search algorithms, refining relevance with ML models, and exploring cutting-edge tech such as RAG and LLMs. Strong Python and IR background required, with collaboration across product and engineering teams.