ML Scientist: Adversarial Robustness & Efficient Vision

Mercor

Obsidian is seeking experienced machine learning researchers to tackle open-ended empirical ML problems across vision and language. You will train and improve deep learning models end-to-end, from data preparation to deployment, focusing on robustness and efficiency. Responsibilities include training image classifiers and generative models, mitigating data and compute constraints, and refining LLM post-training behaviors. #J-18808-Ljbffr Mercor

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Vacancy posted 14 hours ago

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