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.
Requirements
- 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, NLP, Text mining, Recommendations, Personalization, Discovery, Conversational AI
- Strong understanding of computer science fundamentals.
- Contributions to well-used open-source projects.
Benefits
- Comprehensive benefits and perks
- Access to a diverse and inclusive culture
- Opportunities for professional growth and development