Staff Applied AI/ML Scientist - Brand Growth & Marketplace Quality
Core
Lead applied AI/ML scientists to develop algorithmic solutions for recommender systems, spend optimization, LTV predictions, and marketplace quality for a two-sided wholesale platform.
Role type
Staff Applied AI/ML Scientist (Tech Lead)
Builds
Production ML models for personalization, recommendations, spend optimization, and marketplace quality enforcement.
Domain
E-commerce / Marketplace / Retail
Deliverable
production ML models
Required skills
Causal inference, predictive/LTV modeling, recommendations, information extraction, entity resolution, deep learning, LLMs, multi-modal learning, human-in-the-loop training
Preferred skills
Tech lead management, marketplace growth, incentive optimization, trust and quality systems
Technologies
LLMs, deep learning frameworks, embedding models
Responsibilities
Drive data science vision, strategy, and execution end-to-end; Develop personalized recommendation, retrieval, and ranking models; Optimize marketing and acquisition spend through targeting and causal inference; Predict lifetime value to prioritize sales and acquisition; Improve cold-start recommendations and exploration; Extract insights from internal and external data to enrich leads; Build detection and quality systems to reduce bad experiences; Re-engage users through personalized marketing; Mentor or manage Senior Applied AI/ML Scientists and Analytics Engineers.
Seniority
Staff, hands-on IC with leadership responsibilities
