Staff Software Engineer- Search Quality

<p>P-1408</p> <p><strong>The Mission</strong></p> <p>We are democratizing Data and AI for every enterprise user. Our vision is a world where anyone can master their organization’s data through Apps and AI Agents. We are building the retrieval backbone for two worlds: the high-precision context layer for AI agents and the intuitive search experience for people goal is the same: instant, accurate, and actionable insight.</p> <p> </p> <p><strong>The Role</strong>: </p> <ul> <li>As a Search Quality Engineer, you sit at the heart of this transformation. You aren't just building a search engine; you are building the contextual backbone of the entire company.</li> <li>You will own the quality of results for two distinct but deeply connected "users":</li> <li>The AI Agent: Optimizing the retrieval layer that allows LLMs to reason over data they weren’t trained on, ensuring they have the "ground truth" needed to synthesize accurate, high-stakes business actions.</li> <li>The Human User: Improving the traditional search experience so employees can find assets and answers through intuitive, high-recall interfaces.</li> </ul> <p><strong>The Technical Challenge</strong></p> <p>This isn't a solved problem. You will be tackling "Search" in its most evolved form:</p> <ul> <li>Hybrid Retrieval: Balancing traditional keyword-based search (for exactness) with semantic vector search (for intent).</li> <li>Dual-Optimization: Fine-tuning ranking models that satisfy both human readability and LLM-ready context.</li> <li>High-Stakes Accuracy: In a world of Agents, poor search quality leads to hallucinations. You will build the guardrails and relevance scoring that ensure our AI stays grounded in reality.</li> <li>Data Heterogeneity: Connecting the dots across structured SQL tables, unstructured docs, and real-time business metrics.</li> </ul> <p><strong>Why This is the Place to Be</strong></p> <ul> <li>You will have a front-row seat to the Agentic revolution. If you want to solve the hardest problems in data discovery and see your work power the decision-making of thousands of people, let’s talk.</li> </ul> <p> </p> <p><strong>What We’re Looking For</strong></p> <ul> <li>The IR Specialist: You know your way around Lucene/Elasticsearch, embeddings, and ranking algorithms.</li> <li>The Quality and Metrics Obsessive: You understand that "relevance" is subjective and love building evaluation frameworks (human-in-the-loop and LLM-based) to measure it. You are obsessed with <strong>relevance metrics</strong> (nDCG, MRR, Precision@K).</li> <li>The Bridge Builder: You’re excited to apply traditional Information Retrieval (IR) wisdom to the cutting-edge world of Retrieval-Augmented Generation (RAG).</li> </ul><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on <span style="color: rgb(255, 54, 33);"><a style="color: rgb(255, 54, 33);" href="https://twitter.com/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://twitter.com/databrickssource=gmailust=1700237575733000usg=AOvVaw03FL8fJvOD97ytN02f5G2C">Twitter</a>, <a style="color: rgb(255, 54, 33);" href="https://www.linkedin.com/company/databricks" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.linkedin.com/company/databrickssource=gmailust=1700237575733000usg=AOvVaw15dLk3q8VxTfHEgCUg7NSt">LinkedIn</a> <span style="color: rgb(0, 0, 0);">and</span> <a style="color: rgb(255, 54, 33);" href="https://www.facebook.com/databricksin ... (truncated, view full listing at source)