Staff Applied Scientist, Search & Discovery
Core
Design and build search retrieval, ranking, and recommendation systems for a global architecture and design material marketplace.
Role type
Staff Applied Scientist (Search & Discovery)
Builds
Intelligent search and recommendation algorithms for a multi-brand material discovery platform
Domain
Architecture, Design, E-commerce Marketplace
Deliverable
production ML models
Required skills
Search retrieval and ranking, Recommendation systems, Query understanding and NLP, Semantic and embedding-based retrieval, Exploratory data analysis, Experimental design and hypothesis testing, Hands-on ML prototyping, Production ML deployment
Preferred skills
Multimodal and image-based search, Perceptual color science, E-commerce marketplace experience
Technologies
NLP frameworks, Embedding models, Search engines, Recommendation engines
Responsibilities
Design and tune search retrieval and ranking algorithms; Build recommendation systems from the ground up; Perform exploratory analysis on behavioral and catalog data; Improve query parsing and intent recognition; Identify and fix data quality issues affecting search relevance; Prototype and implement new ML approaches; Evaluate image-based search and color matching; Build evaluation frameworks and success metrics; Collaborate with product, engineering, and catalog teams
Seniority
Staff, hands-on IC with strategic ownership
