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As a Sr. Software Engineer in Search, you will leverage the latest innovation in search / AI technology to improve search relevancy, ranking and recommendations. You will collaborate with key stakeholders (including other product teams and customer-facing teams) to analyze search-related issues and requirements to architect and develop efficient and scalable solutions. You will review, analyze, maintain, and optimize existing search implementations. You will be working with a mix of traditional keyword search techniques, hybrid techniques leveraging embeddings, and other uses of AI technology to optimize results for users. You will rigorously measure and drive the quality of the results. We're looking for highly motivated individuals who work well in a team-oriented, iterative, and fast-paced environment.
Job Responsibility:
Develop highly-available distributed services, including improving existing systems
Experiment with different techniques to improve search quality, relevance and experiences
Help design and develop new search features and functionality
Partner cross-functionally with UX and Product Management to create end-to-end experience that customers love
Write maintainable and testable code
Contribute to internal and external technical documentation
Solve problems relating to mission critical services and build automation to prevent problem recurrence
Requirements:
6+ years of relevant professional experience, not including internships/co-ops
Strong understanding of enterprise search and search architecture
Solid experience with search and related technologies such as Solr, ElasticSearch, Lucene
Demonstrable experience with schema design, relevancy tuning, boosting and optimization
Experience working with cloud services, preferably AWS, Azure
Nice to have:
Experience with search ranking and machine learning is a big plus
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