Staff Software Engineer - Machine Learning (Search)

Навыки

• Data Lake
• LLM
• Machine Learning
• NLP
• SQL

О компании и продукте

• Databricks 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 .
• 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 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.
• At Databricks, we are building state-of-the-art AI solutions that redefine how users interact with data and our products

Задачи

• 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

Требования

• 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
• Text mining
• Recommendations
• Personalization
• Discovery
• Conversational AI
• Strong understanding of computer science fundamentals
• Contributions to well-used open-source projects
• Why Join Us?
• 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!

Условия

• At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees

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