Data Scientist

Fluency in Python Experience with LLM lifecycle: prompt design/engineering, prompting techniques (RAG, few-shot, CoT, etc.), vector databases, multimodality, fine-tuning, and evaluation Proven data science experience contributing to impactful projects Expertise in statistical & causal ML fundamentals: experimental design, uncertainty quantification, and rigorous model evaluation Deep learning experience building/training NLP or computer vision models with PyTorch, TensorFlow, or JAX Experience with Agile & AI-powered development (Kanban/Scrum, AI tools) Growth mindset Self-management capabilities Product and UX understanding

Work on client projects and internal research initiatives Build data-driven solutions and leverage machine learning models Contribute to groundbreaking AI alignment research Propose and pursue high-impact research projects