AI Search Engineer
December 9
Description
• Develop and manage e-commerce search microservices for Rebuy Engine’s Smart Search platform • Engineer state-of-the-art workflows for Search and Autocomplete APIs • Design and implement custom ranking and re-ranking algorithms tailored for Smart Search • Develop and refine our Hybrid Search system, which integrates lexical and semantic search capabilities • Evaluate and fine-tune Elastic/Cohere models used for generating search embeddings • Assess the quality and relevance of the embeddings produced by these models • Apply NLP techniques to analyze and interpret query context • Conduct detailed analysis of search result quality to ensure relevance alignment with queries • Establish alerting systems and thresholds for monitoring search engine performance
Requirements
• Degree in Computer Science, Engineering, or a related field, or equivalent work experience • Minimum of 3+ years of experience in deploying production-level search systems • Proven experience in applying machine learning techniques to search and recommendation systems • Proficiency in the Go programming language and/or hands-on experience with other languages i.e. Python, Rust, TS • Deep understanding of Elasticsearch: Strong grasp of core concepts like indexing, search algorithms, query syntax (including DSL), analyzers, tokenizers, and mappings • Strong knowledge of both lexical (text) search and vector search technologies • Commitment to staying current with the latest research and trends in machine learning • Excellent communication and listening skills • Demonstrated ability to manage time effectively and organize work independently • Capacity to collaborate effectively with both internal and external stakeholders
Benefits
• 100% free health, dental, and vision insurance for you and your family • Flexible vacation, paid holidays, parental leave, and sick leave policies • 401(k) retirement plan • Company contributes 3% of your salary as a 401(k) bonus (no vesting)
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