{"id":156398,"url":"https://alion.io/job/databricks-staff-software-engineer-machine-learning-search","title":"Staff Software Engineer - Machine Learning (Search)","company":{"id":15,"name":"Databricks","domain":"databricks.com","url":"https://alion.io/company/databricks","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":859,"ghost_share":0.264,"stale_share":0,"repost_share":0.003,"time_to_fill_p50_days":76,"computed_at":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":105000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2025-04-15T17:16:33Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-29T08:41:03Z","board_verified":true,"closed_at":null,"days_open":561,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":561},"description":"P-1408\nThe Applied AI team at Databricks sits at the forefront of advancing AI/ML-powered products. Databricks’ customers are continuously creating new assets (tables, notebooks, dashboards, datarooms, pipelines, sql queries, ml models etc.) on the platform. Some of them can have hundreds of millions of assets. Finding an asset is a critical user journey for Databricks’ customers which helps them accomplish their tasks. \nAs our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2025, we will focus on enhancing search ranking, improving query understanding, building robust evals and growing the coverage of assets to enable seamless search at scale.\nKey Responsibilities\nDrive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. \nDesign and implement automated ML and NLP pipelines for data preprocessing, query understanding and rewrite, ranking and retrieval, and model evaluation, enabling rapid experimentation and iteration. \nCollaborate with product managers and cross-functional teams to drive technology-first initiatives that enable novel business strategies and product roadmaps for the search and discovery experience. \nContribute to building a robust framework for evaluating search ranking improvements - both offline and online.\nWhat We’re Looking For\nBS+ (M.S. or PhD preferred) in Computer Science, or a related field.\n10+ years experience developing search relevance systems at scale in production or in high-impact research environments.\nExperience applying LLM to search relevance\nExperience in one or more of the following: \nQuery understanding\nNLP\nText mining\nRecommendations\nPersonalization\nDiscovery\nConversational AI \nStrong understanding of computer science fundamentals.\nContributions to well-used open-source projects. \nWhy Join Us?\n At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products. You’ll have the opportunity to shape the future of AI-driven products at Databricks, work with cutting-edge models, and collaborate with a world-class team of AI and ML experts.\nIf you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!\nAbout Databricks\nDatabricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.\nBenefits\n At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. 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