DataRobot is seeking a research-engineering intern at post-doctoral level to shape the architecture of a probabilistic foundation model. The role focuses on encoders for temporal, tabular, and mixed-modality data, attention mechanisms, and distributional output heads, with production-quality PyTorch implementation.
The ideal candidate has deep PyTorch expertise, robust foundations in probability and statistics, and a track record of rigorous experimentation and reproducible results.
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📌 Foundation Model Research Engineer Intern (Melbourne)
🏢 Datarobot
📍 Melbourne
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