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Experience with data access optimization for Cassandra, PostgreSQL and Solr/Elastic search and Lucene. We're seeking engineers with fresh ideas spanning information retrieval, distributed computing, large-scale system design, networking and data storage, artificial intelligence, and natural language processing.
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Experience with Big Data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR or Storm/Samza. Coursework or thesis in machine learning, data mining, information retrieval, statistics or natural language processing.
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Search indexing stacks - Elastic Search, Solr / Lucene (nice to have ) The role will involve work on web services, distributed systems, real time data processing pipelines, data mining & search technologies to power experiences on Cloud by building platform to enable the lifecycle of billions of images, documents and other assets in Cloud.
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Prior experience with Search technologies (Lucene, Solr, Elastic Search etc.) - Design and implement performant services to support high volume data & QPS. - Implement low latency, highly - available, high volume user facing ad-serving systems in a cloud environment.
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Youve used several data storage technologies like Elasticsearch, Solr, PostgreSQL, MongoDB, or Cassandra and have some idea how they work and why they work that way. This is a senior software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search features, enhancements to existing vector search functionality, and resolving bugs.
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Knowledge of advertising targeting and measurement solutions, digital marketing analytics tools, and specific technologies such as GCP, BQ, and Elastic/SOLR/Vector Search. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search. Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Search team is looking for an Engineer with development background and experience of 6+years for a full stack development role. Experience in Search / Information retrieval as a domain ( nice to have.
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Knowledge of key/value, column stores, query based data retrieval systems such as Lucene, Solr, Elastic Search required. Design and implement services using Java, using and customizing infrastructure components like Solr, Kafka, Cassandra, Redis, Kubernetes.
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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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