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Tier-1 brand and metro location increase applicant density despite seniority and niche IR/LLM specialization.
Requires specialized IR/NLP/ML and large-scale search systems expertise, limiting cross-industry transferability.
Mandatory 8+ years plus IR/NLP/ML and large-scale production experience makes filters highly stringent.
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Lead architecture, design, and implementation of end-to-end search solutions for Workspace Search using natural language and ML models.
Own technical goals and roadmap for critical Workspace Search features, collaborating with cross-functional teams to deliver strategic objectives.
Establish and refine evaluation frameworks and KPIs to measure and improve search quality and user experience.
Bachelor’s degree or equivalent practical experience.
8 years experience in software engineering with Information Retrieval, Natural Language Processing, or Machine Learning.
Experience launching large-scale, user-facing production systems, specifically distributed search or quality systems.
Work Experience Required: 8 years in relevant domains.
Proven ability to design and optimize large-scale, high-performance distributed search or ML systems in production.
Experience with embedding-based retrieval, vector search, query understanding, or LLM applications in search/recommendation.
Demonstrated leadership in driving technical alignment and strategic roadmap in complex, cross-functional engineering environments.