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Work At Home-California, United States of America
Remote only
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
Anticipated Weekly Hours
40Time Type
Full timePay Range
The typical pay range for this role is:
$92,700.00 - $203,940.00This 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.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
