LLM Applied Data Scientist (RAG/ NLP)
Core
Enhancing reasoning and planning capabilities of large foundation models through data synthesis, fine-tuning, and agent development.
Role type
Research Scientist/Engineer (LLM reasoning & planning)
Builds
Large foundation models with advanced reasoning, decision-making, and tool-use capabilities
Domain
Artificial Intelligence / Large Language Models / Blockchain
Deliverable
production ML models
Required skills
supervised fine-tuning (SFT), reinforcement learning, reward modelling, data augmentation, MCTS, A* search, system 2 thinking, agent design, multi-agent systems, API integration, code interpreter development
Preferred skills
NLP, RAG, data rewriting
Technologies
MCTS, A*, code interpreters
Responsibilities
Synthesize large-scale datasets via rewriting, augmentation, and generation; implement robust evaluation methodologies; design and build agents and multi-agent systems for real-world problems; apply advanced decoding strategies to solve complex tasks.
Seniority
Senior, hands-on IC
