Sr. Applied Scientist, Amazon Ads Marketing Decision Science
Core
Leading the science behind conversational and agentic AI experiences for advertisers, specifically designing chatbot capabilities for WeChat and third-party channels.
Role type
Senior Applied Scientist (Gen-AI/LLM/NLP)
Builds
Agentic AI systems, chatbot reasoning, retrieval, and evaluation pipelines for Amazon Ads.
Domain
Advertising technology, Generative AI, Large Language Models (LLM), Natural Language Processing (NLP)
Deliverable
production ML models
Required skills
Machine learning fundamentals, LLM/NLP expertise, agentic reasoning, Retrieval-Augmented Generation (RAG), reinforcement learning, model fine-tuning, RLHF/RLAIF, LLM evaluation, PyTorch, API design, latency optimization
Preferred skills
Distributed systems (Hadoop, Spark), modeling tools (TensorFlow, scikit-learn, Spark MLLib)
Responsibilities
Lead design and development of chatbot/agentic AI from concept to production; Architect agentic AI systems with planning and tool use; Apply reinforcement learning and fine-tuning to adapt LLMs; Define and operationalize rigorous LLM evaluation metrics; Own applied engineering quality of the science stack; Collaborate with engineering and product teams to ship measurable impact; Mentor junior scientists.
Seniority
Senior, hands-on IC with mentorship responsibilities
