Software Engineer Intern - Data

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{
  "lists": [
    {
      "text": "Responsibilities:",
      "content": "\n<li><span data-sheets-root=\"1\">Optimize Search Infrastructure: Analyze and refactor existing image and video search indexing pipelines to maximize computational efficiency and minimize operational costs.</span></li>\n<li><span data-sheets-root=\"1\">Build Iterative Search Features: Design and implement a feedback-loop mechanism that captures positive and negative signals from previous search rounds to dynamically refine and improve search accuracy.</span></li>\n<li><span data-sheets-root=\"1\">Develop Smart Sampling Strategies: Overhaul the indexing sampling strategy to intelligently select data based on contextual factors such as predefined critical events, geographic location, and surrounding environmental conditions.</span></li>\n<li><span data-sheets-root=\"1\">Cross-Domain Collaboration: Bridge the gap between machine learning models and backend infrastructure to ensure search systems are both highly accurate and horizontally scalable.</span></li>\n"
    },
    {
      "text": "Required Skills:",
      "content": "\n<li><span data-sheets-root=\"1\">Machine Learning Fundamentals: Solid understanding of ML concepts, particularly in areas related to search relevance, ranking algorithms, or information retrieval.</span></li>\n<li><span data-sheets-root=\"1\">Infrastructure &amp; Backend Development: Strong programming proficiency (e.g., Python, C++, Go, or Java) with a focus on building, scaling, and maintaining robust backend infrastructure.</span></li>\n<li><span data-sheets-root=\"1\">Algorithm Optimization: Demonstrated ability to analyze code, system architecture, and data pipelines to improve execution speed and resource efficiency.</span></li>\n<li><span data-sheets-root=\"1\">Working with Large Datasets: Experience handling and processing high volumes of data, particularly unstructured formats like image and video files.</span></li>\n"
    },
    {
      "text": "Preferred Skills:",
      "content": "\n<li><span data-sheets-root=\"1\">Computer Vision Experience: Familiarity with image and video processing techniques, feature extraction, or working with vector embeddings.</span></li>\n<li><span data-sheets-root=\"1\">Active Learning &amp; Relevance Feedback: Prior experience building human-in-the-loop systems, reinforcement learning, or systems that actively use user feedback to train or tune models.</span></li>\n<li><span data-sheets-root=\"1\">Search &amp; Indexing Tools: Hands-on experience with vector databases (e.g., FAISS, Milvus) or large-scale search engines (e.g., Elasticsearch, Solr).</span></li>\n<li><span data-sheets-root=\"1\">Contextual Data Integration: Experience working with geospatial data (GIS), temporal event logging, or incorporating external metadata (like environmental factors) into datasets.</span></li>\n"
    }
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  "country": "US",
  "createdAt": 1778810535469,
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    "team": "Data",
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