Databricks: Staff Software Engineer - Machine Learning (Search) — Bengaluru, India

About Databricks

Databricks develops a platform for data, analytics and AI. Its employer material describes bringing related capabilities together so organisations can build and scale applications, analytics and agents using their information. The advertised platform portfolio includes data-engineering, lakehouse, governance and AI-related products. Its business connects the infrastructure used to manage data with the tools used to derive insights or create applications, rather than treating those activities as entirely separate technology projects.

The position and its setting

Databricks lists Staff Software Engineer - Machine Learning (Search) in Bengaluru, India, under reference 7958982002. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: Engineering - Pipeline
• Employer listing date: 15 April 2025

Responsibilities and work described

• 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
• Collaboration: 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
• Contribution: to building a robust framework for evaluating search ranking improvements - both offline and online

Essential requirements and candidate background

• 10+ years experience developing search relevance systems at scale in production or in high-impact research environments
• Experience applying LLM to search relevance
• Experience: one or more of the following:
• Query understanding
• NLP
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI
• Understanding: computer science fundamentals
• Contributions to well-used open-source projects
• Why Join Us?
• 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 team of AI and ML experts
• If you're excited about pushing the boundaries of AI in real-world applications, we’d love to hear from you!

Education and qualification routes

• Degree / qualification: BS+ (M.S. or PhD preferred) in Computer Science, or a related field

Location, schedule and contract conditions

• Advertised location: Bengaluru, India

Benefits mentioned by the employer

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
• For specific details on the benefits offered in your region click here

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Staff Software Engineer - Machine Learning (Search) vacancy is not an offer for reference 7958982002; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Databricks

Applications follow the official employer page linked below.

Open the official Databricks posting below and match the title and reference 7958982002.

Compare your qualifications and experience with the essential conditions for the Bengaluru, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: SQL

SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.

Relevant skills

• AI/ML
• LLMs
• SQL
• Excel
• AI
• compliance
• mining projects