Staff Applied ML/AI Scientist - Search

📋 Description

• Own the next-gen Search engine with LLMs, dense retrieval, and fast ranking.
• Design and productionize language-based search and discovery systems for retailers.
• Lead model development and GPU deployment using Triton for scalable inference.
• Mentor senior scientists and establish ML productization and MLOps best practices.
• Own end-to-end personalization in a high-scale, multi-modal environment.

🎯 Requirements

• 7+ years in large-scale ML systems; 3+ years in search/recommendation.
• PyTorch and vector search infra (Faiss, ScaNN, Pinecone).
• Proven track record blending LLMs with structured features for personalization.
• Product-focused, moving from paper to prototype to production.
• Strong Python, reliability, and ownership in high-stakes environments.
• Excellent communication and cross-functional influence.

🎁 Benefits

• Move fast: own meaningful problems affecting customers globally.
• Equipped to scale: invest in enterprise AI tools to work smarter.
• Best in class: sharp, kind colleagues who care about craft and growth.
• Real rewards: competitive pay, equity, and comprehensive benefits.
• Belonging: inclusive environment with equal access to opportunities.