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Sr Engineer Search Relevance
Sr Engineer Search Relevance
JOIN US A SR. ENGINEER - SEARCH RELEVANCE\nTarget is one of the world’s most recognized brands and one of America’s leading retailers. But behind the brand our guests love, is a culture of continual innovation – and right now, we are up to big things. The Target Technology Team is driving a transformation in retail, one that will move us from “ and online” to “ and everywhere else.” Our goal is to deliver Target’s unique “Expect More. Pay Less.” promise to guests wherever and whenever they shop, today and tomorrow: in-store, online, on tablets and mobile phones, and in the retail channels of the future. \n \nYou can be a part of developing and launching new services that power all the channels where Target does and will do business – in-store, web, tablet, mobile, and future channels. You’ll have the opportunity to design, develop and support innovative solutions across a variety of applications, platforms and environments, building tomorrow’s technologies in Search, Browse, Product Info, Promotions, Content and Checkout. You’ll put your skills, experience and passion to work in an entrepreneurial environment where success is rewarded.\n \nWe are looking for highly motivated engineering professionals who can connect the in-store experience to the digital environment by creating scalable and seamless multi-channel experiences without losing the brand we are known for. Individuals in this role will have opportunities to gain a large breadth of knowledge by working with experts in the eCommerce, multichannel retail, product management and software engineering fields.\n \nAs an engineer, you are a software developer with an entrepreneurial streak. You will build great products - ready to do whatever it takes to build scalable guest focused, world-class eCommerce applications for the Sr. Engineer. You like resolving complex business problems and find innovative solutions. You love keeping abreast of the latest industry trends and use them to help you innovate. You have strong leadership qualities, great judgment, clear communication skills and a track record of delivering great products.\nKey Responsibilities:\n* Lead and develop search relevance features on our ecommerce search engine \n* Define search metrics to validate and qualify search relevance on the engine \n* Unit test code and create automated test scripts \n* Lead discussions with other engineers and partners to ensure development meets business needs \n* Follow industry standard agile software design methodology for development and technical documentation \n* Research related products and implement innovative solutions \n* Mentor other engineers across product development teams \n* Innovate constantly and maintain the technical edge\n\nMinimum Qualifications:\n* 5+ years of software development experience with at least one full cycle implementation from requirement to production \n* Experience in one or more of these areas: Search Relevancy, Search metrics measurement, Query Classification, Lexical Matching, Dynamic ranking and Static Ranking \n* Excellent problem solver, data mining, and search algorithm development skills \n* Strong sense of ownership and the ability to work with a limited set of requirements \n* Team attitude \n* Strong verbal and written communication skills – able to document and share design and specifications with team members and partners.\n\nDesired Qualifications:\n* BS degree in computer science or equivalent \n* eCommerce experience with a track record of innovation \n* Extensive experience working in an agile environment (i.e. user stories, iterative development, etc.) \n* Experience with search engine development; relevance metrics measurement, such as NDCG, CTR, CTS; query understanding and classifier; and ecommerce data mining \n* Solr experience on Query Parser, Relevance Score calculation, Query Field design, Function Query \n* Coding experience in Solr/Lucene Plugins and extensions \n* Expertise in one or more of the following areas: search simulations, lexical matching, fuzzy matching technique, document static ranking, dynamic ranking, relevance tuning\n\n
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