2027 Summer Intern, PhD, Research, Multimodal Foundation Models
Waymo, Mountain View, CA +1
What you will do
- 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 utility and guide data curation for foundation models
What you need
- Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field
- 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 evaluating large-scale neural networks