Senior Software Engineer - Search
Posted by employer 1 year ago
First seen on Joblaze 5 months ago
Last verified on the company career page 12 hours ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Master's degree
Not disclosed in this posting: compensation, work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer will focus on enhancing the search quality of Databricks' AI/ML-powered products by developing and deploying machine learning models for search relevance. Key skills include expertise in natural language processing, query understanding, and experience with large language models, alongside a strong foundation in computer science. This position is ideal for seasoned professionals with over five years of experience in search relevance systems, particularly those with a background in high-impact research or production environments. The Applied AI team is dedicated to pushing the boundaries of AI applications, making it a dynamic environment for innovati
Joblaze insights
- Listed about 5 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 9, 2026.
- Machine Learning appears in 17.1% of 35 comparable senior ai/ml roles in India; Natural Language Processing appears in 5.7% of 35 comparable senior ai/ml roles in India.
Quick facts
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer - Search role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Conversational AI, Machine Learning, Natural Language Processing, Personalization, Recommendations, Text Mining.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer - Search role at Databricks.
From the original posting
P-926
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. 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 multiple senior engineers to drive 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.
- 5+ 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.
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 world-class 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!
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.