Senior Search Engineer

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Requirements:

• 5+ years of experience as a search engineer or in a directly related role, with a strong background in search algorithms, information retrieval, and ranking systems.
• Expertise in search technologies like Elasticsearch, Solr, or Lucene—experience designing search systems is a must.
• Proficiency in Python and/or Java for backend systems development.
• Strong experience with machine learning models and natural language processing to enhance search capabilities.
• Proven ability to optimize query parsing, indexing, and relevance tuning for search systems.
• Experience working with AI and ML models, preferably with tools like TensorFlow or PyTorch.
• Ability to collaborate effectively across teams and communicate complex search concepts clearly.
• English proficiency is required. Conversational Japanese is a plus.

Responsibilities:

• Designing, developing, and optimizing search algorithms and infrastructure using technologies like Elasticsearch, Solr, or Lucene.
• Integrating AI-powered models and machine learning to improve search relevance, speed, and accuracy.
• Collaborating with data science teams to implement NLP techniques and machine learning for semantic search enhancements.
• Building and maintaining high-performance indexing, ranking, and query processing systems to ensure the quality and relevance of search results.
• Tuning relevance metrics based on real-world data and continuously monitoring performance across various datasets and use cases.
• Mentoring junior engineers, conducting code reviews, and participating in an on-call rotation with additional compensation.