Senior Software Engineer (Search / Retrieval)

Workato

United States

United States

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divh2Senior Software Engineer (Search / Retrieval)/h2pWorkato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility./ppTrusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in todays fast-changing world./ppUltimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. Thats why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives./ppIf this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why:/pulliBusiness Insider named us an enterprise startup to bet your career on/liliForbes Cloud 100 recognized us as one of the top 100 private cloud companies in the world/liliDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America/liliQuartz ranked us the #1 best company for remote workers/li/ulh2Responsibilities/h2pWe are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. Youll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:/pulliLead the development of advanced our search cluster that can scale to millions of documents across customers and data sources/liliDeploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback./liliBuild and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval./liliArchitect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing./liliDrive improvements in query construction, indexing and search performance/liliBe up-to-date with the latest improvements in search and indexing technologies/liliCollaborate with product and applied research teams to translate user needs into data-informed search innovations/liliProduce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack./li/ulh3Qualifications / Experience / Technical Skills/h3ulliBachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field./lili7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields/liliStrong proficiency in Python/liliHands-on experience with search engines (Opensearch or Elasticsearch)/liliStrong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)/liliExperience with text processing, NLP, and relevance tuning/liliExperience with relevance evaluation metrics (NDCG, MRR, MAP)/liliExperience with large-scale distributed systems/liliStrong analytical and problem-solving skills/li/ulh3Soft Skills / Personal Characteristics/h3ulliStrong communication abilities to explain technical concepts/liliCollaborative mindset for cross-functional team work/liliDetail-oriented with strong focus on quality/liliSelf-motivated and able to work independently/liliPassion for solving complex search problems/li/ulpREQ ID: 2272/p/div

United States

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English

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