LLM Research Scientist (Pre-training & Computer Vision & Adversarial Robustness)

About the role

We're looking for experienced machine learning researchers with hands-on experience training and improving deep learning models end-to-end, across vision and language. You'll work on well-scoped empirical open-ended ML research problems. Train image classifiers and generative image models from scratch, and fine-tune open-weight language models.

Experience

We are looking for candidates with strong expertise in one or more of the following areas:. Adversarial Robustness . Experience with:. Adversarial training of image classifiers (e.g. PGD-based training, TRADES). Evaluating robust accuracy under standard threat models (e.g. L∞ attacks, AutoAttack) and avoiding gradient-masking pitfalls. Managing the robustness–accuracy trade-off and robust overfitting. Efficient Computer Vision . Experience with:.

Selection process

Apply on the official platform. The listing does not describe further selection steps.