Research Scientist

📋 Description Execute technical research in AI safety by designing and running experiments to study and steer Apply white-box and black-box interpretability methods, focusing on transformers and LLMs. Develop modular, reproducible research code in Python using PyTorch. Build and maintain research infrastructure and tooling to accelerate discovery. Document findings via academic papers, technical reports, and presentations. Collaborate with senior scientists to refine hypotheses and identify research scope. 🎯 Requirements Solid background in machine learning fundamentals and transformer architectures (LLMs). Experience with interpretability techniques (steering vectors, mechanistic interpretability). Strong Python programming, PyTorch, and Git for version control. Excellent communication to translate results into clear reports. Curiosity and analytical rigor with exposure to AI safety areas (robustness, evaluation 🎁 Benefits Hybrid Working Unlimited Annual Leave Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility Sanctus Coaching