D. in computer science, machine learning, engineering, or related fields, or Master's degree and 4+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Have publications at top-tier peer-reviewed conferences or journals - 5+ years of scientists or machine learning engineers management experience - Hands-on experience designing, deploying, and evaluating LLM-based agentic systems, including tool use, multi-step planning and reasoning, retrieval-augmented generation (RAG), and multi-agent orchestration (orchestrator-worker, swarm, critic-actor patterns). Basic Qualifications - 4+ years of applied research experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or Master's degree and 6+ years of applied research experience - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience programming in Java, C++, Python or related language Preferred Qualifications - Experience working on recommender systems or personalization within search, e-commerce, shopping, advertising or other related fields - Ph.