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

• Train image classifiers and generative image models from scratch, and fine-tune open-weight language models.
• Get the most out of limited data, compute, and model-size budgets.
• Make models robust — to adversarial inputs and to adversarial conversations.
• Compress models to meet hard size and latency constraints without sacrificing accuracy.
• Diagnose and resolve training issues.

• Strong expertise in Adversarial Robustness: Experience with adversarial training of image classifiers (e.g. PGD-based training, TRADES).

• Experience in scaling laws and training-efficiency research.

Project and contracting process: Mercor. Applications continue on the provider's website.