Senior Staff Software Engineer, Workspace Search Quality

• Lead the architecture, design and implementation of end-to-end search solutions, from understanding natural language queries to developing and deploying machine learning models that significantly improve search quality.
• Drive innovation by exploring and integrating machine learning techniques, algorithms, and architectures to enhance search relevance and user experience.
• Own the technical goal and roadmap for critical areas of Workspace Search, collaborating with cross-functional teams to define and deliver on a strategic roadmap.
• Establish and refine evaluation frameworks and metrics to measure and track progress against key performance-indicators.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).
• Experience with launching user-facing, large-scale, production quality systems.
• Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.

Preferred qualifications:

• Experience with embedding-based retrieval, vector search, query understanding or Large Language Models (LLMs) applied to search/recommendation systems.
• Experience mamaging system latency improvements (e.g., progressive loading, perfecting techniques, or bypassing post-retrieval latency overhead) and scalability enhancements.
• Background in defining metrics, analyzing user-perception surveys, and running complex search experiments.
• Good understanding of agentic architectures, tool-calling, Retrieval-Augmented Generation (RAG) grounding layers.
• Exceptional collaboration and communication skills, with a proven ability todrive technical alignment with cross-functional stakeholders and navigate competing priorities.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software engineering with Information Retrieval (IR), Natural Language Processing (NLP) or Machine Learning (ML).
• Experience with launching user-facing, large-scale, production quality systems.
• Experience designing, implementing, and optimizing large-scale, high-performance, distributed search or quality systems in production environments.