Waymo
2027 Summer Intern, PhD, Research, Multimodal Foundation Models
Mountain View, CA, USA +1 · Internship · Posted Oct 22, 2026
- Location
- Mountain View, CA, USA
Mountain View, California, United States - Education
- Currently pursuing a PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field.
About the job
Research multimodal foundation models for autonomous driving by studying data mixtures, scaling, data curricula, modality contributions, and dataset utility.
What you'll do
- Run data-mixture ablations and fit scaling laws; research efficient data curricula for foundation-model tasks.
- Study the contribution and efficiency of different modalities in multimodal foundation models.
- Apply training data attribution and data valuation methods to quantify dataset utility and guide data curation.
What they ask for
- 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 machine learning, deep learning, and statistical modeling/optimization foundation; proficiency in Python and modern deep learning frameworks for large-scale neural networks.
Nice to have
- Experience with Grain.
- Research or practical experience with neural scaling laws, data-mixture optimization, curriculum learning, or training data attribution.
Pay
$85 — $85 USD (hourly pay)
Tools
Python, JAX, PyTorch, Grain
AI focus
Research and develop data and training methods for multimodal foundation models, including scaling laws, data curricula, modality analysis, and training data attribution and valuation.
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