Jobs/Staff Software Engineer (Search Ranking)
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Staff Software Engineer (Search Ranking)

Databricks Verified
Compensation TransparencyStated CTC: Competitive (Industry Standard)
Disclosed on Official ATS Application

Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.

Stipend / SalaryCompetitive (Industry Standard)
Work ModeON SITE
Experience2+ yrs
Posted3d ago
Verified Direct Role: Clicking "Apply on Official Site" opens Databricks's official careers portal directly without middleman aggregators.
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Job Snapshot & Verified Telemetry
  • Target Role:Staff Software Engineer (Search Ranking)
  • Employer:Databricks
  • Work Mode:ON SITE
  • Location:Bengaluru, India
  • Compensation:Competitive (Industry Standard)
  • Experience:2+ Years
  • Recruiter SLA:7-Day Truth Teller Guarantee
  • Candidate Fee:₹0 (Zero Placement Fee Guarantee)
Required Competencies:SQL
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About the Role

P-1408 The 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. As our Search product continues to evolve, we are seeking a Staff Engineer to lead enhancements to our Search Quality. In 2026, 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. Key Responsibilities Drive the development and deployment of ML based search and discovery relevance models and systems integrated with Databricks' products and services. Design 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. Collaborate 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. Contribute to building a robust framework for evaluating search ranking improvements - both offline and online. What We’re Looking For BS+ (M.S. or PhD preferred) in Computer Science, or a related field. 10+ years experience developing search relevance systems at scale in production or in high-impact research environments. Experience applying LLM to search relevance Experience in one or more of the following: Query understanding NLP Text mining Recommendations Personalization Discovery Conversational AI Strong understanding of computer science fundamentals. Contributions to well-used open-source projects. About Databricks Databricks is the Da

Requirements & Qualifications

  • Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.

Perks & Benefits

  • Official mentor support
  • verified hiring timeline
  • and career progression.
Required Tech Stack1 Skill

The employer seeks candidates proficient in the following core technologies:

SQL
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Verified Direct Application Link

Official position sourced directly from Databricks's verified career portal.

Application SourceOfficial EXTERNAL Portal
Company VerificationVerified Employer
Middleman TrapsNone (Direct Employer ATS)
Candidate Fees₹0 (Zero Placement Fee Guarantee)
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The verified package for this role is Competitive (Industry Standard) (ON SITE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.

Who is eligible to apply for this opening?▼

Engineers with 2+ years of experience proficient in SQL are encouraged to apply.

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Databricks
Staff Software Engineer (Search Ranking)
Databricks•Competitive (Industry Standard)