About the role#
The AI Foundations team develops machine learning solutions to help autonomous vehicles operate safely across various cities and driving conditions. As a PhD Research Intern, you will work on multimodal foundation models, partnering with industry leaders to address open research problems. This is a full-time, paid internship for Summer 2027.
What you'll do#
- Run data mixture ablations and fit scaling laws.
- Research efficient data curriculum for various foundation modeling tasks.
- Study the contribution and efficiency of different modalities in a multi-modal foundation model.
- Explore and apply training data attribution and data valuation methods to quantify dataset utility and guide data curation.
What you'll 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 or optimization.
- Proficiency in Python and modern deep learning frameworks such as JAX or PyTorch for training and evaluating large-scale neural networks.
- Experience with Grain is preferred.
- Practical experience with neural scaling laws, data mixture optimization, curriculum learning, or training data attribution is also preferred.
Location & details#
- Location: Mountain View, California.
- Modality: Hybrid.
- Compensation: $85 per hour.
About Waymo
Waymo is a technology company that develops automated driving systems. It focuses on mobility and road safety through its Waymo Driver technology. The firm operates as a private organization and employs between 1,001 and 5,000 people. It was founded in 2009 and maintains its headquarters in Mountain View, California.
How to get in at Waymo
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