Applied Scientist
Core
Build agentic solutions with LLMs and multimodal models to support authors in publishing, discovery, and catalog management.
Role type
Senior Applied Scientist (LLMs & Multimodal)
Builds
Multi-agent support assistant, multimodal book attribute models, fine-tuned KDP expertise models
Domain
Publishing / Generative AI / Large Language Models
Deliverable
production ML models
Required skills
LLMs, multimodal models, supervised fine-tuning, reinforcement learning, multi-agent orchestration, retrieval-augmented generation, large-scale embeddings, multilingual NLP, computer vision, SQL, large-scale data processing
Preferred skills
LLM-based agents, tool use, patents or publications, generative AI workflow efficiency
Technologies
Java, C++, Python, LLMs, multimodal models, RAG, embeddings
Responsibilities
Build multi-agent systems for author support assistant; develop multimodal models for book attributes and search; post-train open models on KDP expertise; design and execute offline/online experiments for model improvement
Seniority
Senior, hands-on IC