Databricks

Staff Software Engineer (Search Ranking)

Databricks
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17 days ago
Bengaluru, IndiaStaff+
H1B Sponsor

Responsibilities

  • Develop and deploy ML-based search and discovery relevance models and systems integrated with Databricks products and services.
  • Design and implement ML and NLP pipelines for data preprocessing, query understanding and rewriting, ranking, retrieval, and model evaluation.
  • Drive technology initiatives with product managers and cross-functional teams for the search and discovery experience.
  • Build frameworks to evaluate search ranking improvements through offline and online evaluations.
  • Lead enhancements to search ranking, query understanding, asset coverage, and search quality at scale.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related field; a master’s degree or PhD is preferred.
  • 10+ years of experience developing search relevance systems at scale in production or in high-impact research environments.
  • Experience applying LLMs to search relevance.
  • Experience with one or more of query understanding, NLP, text mining, recommendations, personalization, discovery, or conversational AI.
  • Strong understanding of computer science fundamentals.
  • Contributions to well-used open-source projects.

Benefits

  • Comprehensive employee benefits and perks are offered, with details varying by region.

Tech Stack

DatabricksSQL

Categories

Databricks

About Databricks

5,001-10,000 employees

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks 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 Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

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