PhD Intern: Multimodal Foundation Models Research

First Roles; Mountain View (CA); Hybride; USD 97 000 - 138 000; Plein temps

Avantages offerts par ce poste

Benefits program

Résumé du poste

Waymo is seeking a PhD candidate for a Summer Intern, focusing on multimodal foundation models in Mountain View, CA. You will work on data mixture ablations, scalable data curricula, and evaluation across multiple modalities, contributing to data attribution and efficient training practices.

The role emphasizes collaboration with the Waymo AI Foundations team and offers hybrid onsite work with rolling applications. Hourly compensation reflects PhD-level internship norms.

Qualifications

• Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related field.
• Strong foundation in machine learning, deep learning, and statistical modeling/optimization.
• Proficiency in Python and modern deep learning frameworks (e.g., PyTorch, JAX).

Responsabilités

• Run data mixture ablations and fit scaling laws.
• Research data curricula for Foundation modeling tasks.
• Evaluate and compare modalities in multimodal Foundation Models.
• Explore training data attribution methods to guide data curation.

Connaissances

PhD candidate

Python

PyTorch

JAX

Data pipelines

Foundation models

Formation

PhD in CS/ML

Outils

Grain

Description du poste

Waymo is seeking a PhD candidate for a Summer Intern, focusing on multimodal foundation models in Mountain View, CA. You will work on data mixture ablations, scalable data curricula, and evaluation across multiple modalities, contributing to data attribution and efficient training practices.

The role emphasizes collaboration with the Waymo AI Foundations team and offers hybrid onsite work with rolling applications. Hourly compensation reflects PhD-level internship norms.