Software Relevance Engineer
3 weeks ago
About the Opportunity
We are seeking a highly skilled Software Relevance Engineer to join our team at Grainger. This is a unique opportunity to leverage your expertise in search engines like Elasticsearch, Apache Solr, or Lucene to build and enhance our cutting-edge search infrastructure.
Estimated Salary Range: $120,000 - $180,000 per year, depending on location and experience.
Job Description:
In this role, you will be responsible for analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience. You will also develop and implement advanced search algorithms that can process large datasets quickly and accurately, leveraging search engine features such as vector search, natural language processing (NLP), and personalization.
Key Responsibilities:
- Data Analysis: Improve Search Algorithms by analyzing search patterns, user interactions, and relevancy metrics.
- Developing Search Algorithms: Leverage Advanced Techniques to develop and implement advanced search algorithms that can process large datasets quickly and accurately.
- Relevancy Model Development: Collaborate with Machine Learning Teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data.
- A/B Testing and Experimentation: Implement Frameworks for A/B Testing to experiment with different search and relevancy approaches, measuring and analyzing the outcomes to drive continuous improvements.
Requirements:
- Strong background in computer science, with specific skills in data structures, algorithms, and distributed systems development.
- 8+ years of experience with search engines such as Elasticsearch, Solr, or similar technologies, and proficiency in leveraging advanced techniques like vector search, NLP, and personalization to build sophisticated, multifaceted relevancy scoring systems.
- Experience leading teams in building search applications from scratch, migrating applications to open source search engines.
- Proficiency in writing high-quality production code, demonstrating strong software engineering expertise.
- Experience with A/B testing and experimentation to validate search algorithm changes and drive continuous improvements based on real-world results.
Benefits:
Grainger offers a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. Our dynamic team environment provides a supportive and collaborative culture where employees can thrive.
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