Run data mixture ablations and fit scaling laws
Research efficient data curriculum for various Foundation modeling tasks
Research contribution and efficiency of different modalities in a multi-modal Foundation Model
Explore and apply training data attribution (TDA) and data valuation methods to quantify dataset

🎯 Requirements

Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative
In-depth knowledge of state of the art foundation models
Experience with data pipelines at scale
Strong foundation in machine learning, deep learning, and statistical modeling/optimization
Proficiency in Python and modern deep learning frameworks (e.g., JAX, PyTorch) for training and

🎁 Benefits

Expected hourly rate: $85 USD
Eligible to participate in the Company’s generous benefits programs, subject to eligibility

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