PhD Intern, Multimodal Foundation Models (Hybrid)

Waymo LLC; Mountain View (CA); Hybrid; USD 97,000 - 138,000; Full time

Benefits offered by this job

Generous benefits

Hybrid onsite internship

Job summary

Waymo LLC in Mountain View, CA offers a hybrid onsite PhD internship in AI Foundations. You will run data mixture ablations, fit scaling laws, and improve data attribution for foundation models.

Ideal candidates are pursuing a PhD in Computer Science, Robotics, or ML with deep knowledge of foundation models and strong Python expertise (PyTorch or JAX). This position provides access to substantial compute and datasets while contributing to Waymo's autonomous driving research.

Qualifications

• PhD candidate in CS/ML/related field.
• Strong foundation in ML/DL and statistics.
• Experience with data pipelines at scale.

Responsibilities

• Run data mixture ablations and fit scaling laws.
• Research efficient data curriculum for Foundation modeling tasks.
• Research contribution and efficiency of modalities in multi-modal Foundation Model.
• Explore and apply training data attribution and data valuation methods to quantify dataset utility.

Skills

Foundation models

Python programming

PyTorch or JAX

Data pipelines at scale

Statistical modeling

Education

PhD candidate in Computer Science/Robotics/ML

Tools

PyTorch

JAX

Job description

Waymo LLC in Mountain View, CA offers a hybrid onsite PhD internship in AI Foundations. You will run data mixture ablations, fit scaling laws, and improve data attribution for foundation models.

Ideal candidates are pursuing a PhD in Computer Science, Robotics, or ML with deep knowledge of foundation models and strong Python expertise (PyTorch or JAX). This position provides access to substantial compute and datasets while contributing to Waymo's autonomous driving research.