LLM Applied Data Scientist (RAG/ NLP)

Description: Seeking a Research Scientist/Engineer to enhance reasoning and planning capabilities of large foundation models. Responsibilities include data acquisition, supervised fine-tuning, reward modeling, and reinforcement learning. Focus on synthesizing high-quality datasets and solving complex tasks using advanced decoding strategies. Requirements: Master’s in Information Retrieval, NLP, Machine Learning, Computer Vision, or related fields. Proficient in PyTorch and strong coding skills in Python or C++. Strong communication skills and passion for lifelong learning. Solid theoretical foundation in information retrieval, NLP, and deep learning. Hands-on experience with RAG, vector databases, and large-scale AI systems. Ability to translate research into scalable, production-level systems. Self-driven with end-to-end project ownership. Publications in top-tier conferences/journals are a plus. Benefits: Shape the future of finance in a leading blockchain ecosystem. Collaborate with world-class talent in a user-centric organization. Tackle challenging projects with autonomy in an innovative environment. Opportunities for career growth and continuous learning. Competitive salary and company benefits. Remote-first, work-from-home arrangement.