2027 Summer Intern, PhD, Research, Multimodal Foundation Models
Core
Researching multimodal foundation models, data mixture ablations, scaling laws, and training data attribution for autonomous driving.
Role type
PhD Research Intern (Multimodal Foundation Models)
Builds
Machine learning solutions for the Waymo Driver autonomous driving system
Domain
Autonomous driving, Machine Learning, Deep Learning
Deliverable
production ML models
Required skills
Foundation models, data pipelines at scale, machine learning, deep learning, statistical modeling/optimization, Python, JAX, PyTorch
Preferred skills
Grain, neural scaling laws, data mixture optimization, curriculum learning, training data attribution
Technologies
JAX, PyTorch, Grain
Responsibilities
Run data mixture ablations and fit scaling laws; Research efficient data curriculum for 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
Seniority
Intern