Adversarial ML Scientist: Robustness & Efficient Models
Mercor
Obsidian is seeking experienced ML researchers to tackle end‑to‑end deep learning challenges across vision and language. You will train image classifiers, generative models, and open‑weight LLMs, while pushing robustness, efficiency, and deployment‑ready performance on high‑scale data. Applicants should have 3+ years in ML research, expertise in PyTorch/JAX/TensorFlow, and a strong publication or open‑source track record from a top university or FAANG‑level environment. #J-18808-Ljbffr Mercor
Vacancy posted 2 days ago
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