Senior Applied AI/ML Scientist - Marketplace Quality
Core
Develop algorithmic solutions for marketplace quality, including pricing integrity, product matching, and violation detection to ensure trust for independent retailers.
Role type
Senior Applied AI/ML Scientist (Marketplace Quality)
Builds
Production ML models for pricing validation, entity resolution, and violation prioritization within a two-sided wholesale marketplace.
Domain
E-commerce / Two-sided Marketplace / Data Quality
Deliverable
production ML models
Required skills
Deep learning, LLMs, computer vision, information extraction, entity resolution, ranking, experimentation, causal inference, constrained optimization
Preferred skills
Catalog quality, product attribute extraction, LLM evaluation pipelines, human-in-the-loop workflows
Technologies
Multi-modal LLMs, text and image embeddings, retrieval
Responsibilities
Own applied ML projects end-to-end from framing to production and measurement; Build pricing-integrity models to detect over- and under-pricing violations; Solve product matching and entity resolution at scale using text and image data; Extract structured attributes from unstructured listing content; Design targeting logic to prioritize violations based on impact vs. cost; Build human-in-the-loop systems for model training and validation; Design and analyze experiments for enforcement levers like downranking or badging.
Seniority
Senior, hands-on IC
