Search Engineer
Core
Own end-to-end search, ranking, and discovery infrastructure for a fashion quick-commerce startup to surface relevant products in under 60 minutes.
Role type
Senior IC Search Engineer (E-commerce)
Builds
Search infrastructure, real-time indexing pipelines, ranking systems, and discovery layers (personalized feeds, similar products)
Domain
E-commerce, Quick Commerce, Fashion Tech
Deliverable
production ML models
Required skills
Elasticsearch/OpenSearch, Python, NLP fundamentals, ML ranking (LTR, XGBoost/LightGBM), embedding retrieval (FAISS/HNSW), real-time indexing (Kafka/CDC), A/B testing design
Preferred skills
Vector databases (Pinecone, Weaviate), hybrid keyword + semantic search, recommendation systems (collaborative filtering, two-tower models), visual search
Technologies
Elasticsearch, OpenSearch, Kafka, XGBoost, LightGBM, FAISS, HNSW, Pinecone, Weaviate
Responsibilities
Design ranking systems blending relevance, personalization, inventory availability, and business rules; Build real-time indexing pipelines syncing with inventory, pricing, and catalogue data; Design A/B testing for search quality metrics (MRR, NDCG, CTR, conversion); Optimize search latency to P95 < 200ms
Seniority
Senior, hands-on IC
