Staff Software Engineer, Search Quality

Highlights

• Lead technical vision for ranking and relevance in next-gen Search product.
• Design evaluation frameworks ensuring high-quality results across massive datasets.
• Power RAG, AI assistants and discovery across enterprise-scale data.

What they offer

• annual performance bonus
• equity
• comprehensive benefits

Ideal candidate

Seasoned search relevance leader who blends scientific rigor with product thinking. You love raising quality bars, mentoring engineers, and turning retrieval research into reliable enterprise impact.

Requirements

• 10+ 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
• Strong understanding of relevance metrics and evaluation frameworks
• Familiarity with vector search, keyword search, hybrid retrieval, and embedding-based semantic retrieval
• Solid foundation in algorithms, data structures, and system design for performance-critical ranking and retrieval systems
• Proven ability to deliver high-impact technical initiatives with clear business or product outcomes
• Strong communication skills and ability to collaborate across teams in fast-moving environments
• Strategic and product-oriented mindset with ability to align technical execution with long-term vision
• Passion for mentoring, growing engineers, and fostering technical excellence