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Demonstrated expertise in search indexing, retrieval and ranking systems like Elasticsearch/OpenSearch, personalization, and/or natural language processing. Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design.
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Lead and set the future direction of search quality at Figma in partnership with cross functional teams of innovative software engineers, product managers, and data scientists. We are looking for a highly-skilled and experienced machine learning engineer to join the Search team to lead our search quality efforts through their early ML phase (and beyond.
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7+ years of practical/applied experience with machine learning methodologies and with data mining, statistical modeling, and/or equivalent. As Figma’s customer base continues to grow and diversify and new technological advances in ML/AI/NLP emerge in real time, the opportunity ahead for search relevance is greater than ever.
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Search and data pipelines built with OpenAI, Cohere, Elasticsearch, Pinecone, PubSub, Apache Beam, and Temporal. Tackle challenging backend problems from end-to-end, such as local-first sync, collaborative rich text editing, data ingestion and processing, real-time recommendation, and LLM-augmented information indexing, retrieval, and discovery.
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Familiarity with frameworks for large-scale data processing (e.g., Kafka, Spark, Airflow, Ray), storage (e.g., S3, Delta Lake), indexing and search (e.g. Elasticsearch). Proven experience with building and maintaining large-scale data pipelines (batching or streaming) for computer vision and/or machine learning applications.
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Create and manage Elasticsearch Clusters on premise, including configuration parameters, indexing, search, and query performance tuning, RBAC security governance, and administration.
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Knowledge and experience with Search tools, Search results organization and the implications of metadata organization, indexing, catalog content. Supports the Chief Data Office with building data storage architecture, including schema, formatting, indexing, accessing, retrieving, and maintaining data integrity.
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Implement search functionality and data indexing using Elasticsearch, enhancing data retrieval efficiency. Familiarity with Elasticsearch for implementing search functionality and data indexing.
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Data pipelining (can do Airflow/Kafka pipelines for indexing to Elasticsearch and DynamoDB). Data indexing (and index management) on search engines. 5+ years experience developing search algorithms and applications using search engine toolkits like Elasticsearch or Solr.
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As an Expert Data Scientist, you will support an exciting National Security mission to position NGA to be the enterprise and community GEOINT data provider, improving the way analysts, customers, and end users access, discover, stage, link, produce, re-integrate, and deliver intelligence.
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Data ingestion & enrichment from various sources, webhooks, and REST APIs with JSON/YAML/XML payloads & testing POSTMAN, etc. Hands-on Scripting & Programming in Python, Ansible, bash, data parsing (regex), etc.
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Design and configuration of ETL data pipelines using Elastic Common Schema to onboard application logs and metrics; Securing, maintenance, optimization, documentation, and some design and build, Data Analytics & Visualization.
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Experience with big data indexing / search technologies such as Apache SOLR and Elasticsearch. Drive delivery and report status on data integration solutions-projects to support our client's domains for large complex legacy claims adjudication platforms which have been targeted for archival and decommission.
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We are seeking a talented and experienced Python Engineer to join our dynamic team, working on cutting-edge projects that revolve around developing robust APIs and managing data with a focus on Django, PostgreSQL, and Elasticsearch.
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Experience with search engine platforms like Apache Solr, Elasticsearch, or Algolia. Develop and document business requirements for search engine enhancements, including indexing, ranking, scoring, and user interface changes.
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