Staff Software Engineer, Search QualityActive$165K
The opportunity
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI…
What you'll do
Lead the technical vision for Search Quality, shaping the ranking: architecture, relevance modeling stack, and evaluation systems that power Databricks’ next-generation retrieval experiences.
Identify and solve challenges in ranking, query understanding, and hybrid: retrieval — advancing state-of-the-art techniques in vector, keyword, and multimodal search.
Design and train production-ready ranking and reranking models with strong: guarantees around quality, latency, and resource efficiency.
Partner closely with research, product, and infra teams to define metrics,: evaluation methodologies, and experimentation strategies for new retrieval features and model architectures.
Drive end-to-end engineering efforts: from early prototyping to production rollout — ensuring correctness, reliability, and measurable improvements to relevance.
Build and operate resilient, low-latency services for ranking, evaluation, and relevance signal processing.
What they're looking for
- Champion excellence in ML and search engineering, mentoring teammates and: elevating design, code quality, and scientific rigor across the team.
- Shape Databricks’ long‑term roadmap for retrieval quality, ranking: infrastructure, and the foundations for retrieval-driven AI products.
- + years of experience building large-scale search, ranking, recommendation, or ML-driven relevance systems.
- Deep expertise in Search Quality, including ranking models, signals, query: understanding, and evaluation methodologies.
