invariance design , and who is comfortable working with and evaluating modern large language models . You will work at the intersection of algorithms, mathematics, and modern computational models , contributing to representation methods that must remain robust under a wide range of transformations. The work is deeply technical, research- and delivery … novel algorithms beyond standard machine learning approaches. Experience with invariance, stability, perturbation analysis, or noise modelling. Solid mathematical background (linear algebra, spectral methods, applied maths). Comfortable running structured experiments with multiple LLMs (Qwen models especially welcome). Proficiency in Python (NumPy, SciPy, PyTorch/JAX optional but beneficial). ...