2027 Summer Intern, PhD, Research, Multimodal Foundation Models
Waymo · Mountain View, CA, USA · Mountain View (US-MTV-EMF680)
Roboticsonsiteintern$177k
At a glance
Highlights
- Run data mixture ablations and fit scaling laws for foundation models.
- Research efficient data curricula across foundation modeling tasks.
- Quantify dataset utility with training data attribution to guide curation.
What they offer
- Generous benefits programs subject to eligibility
Ideal candidate
PhD researcher passionate about foundation models and data-centric ML who loves rigorous experimentation on scaling and data value to advance autonomous driving.
Requirements
- Currently pursuing a PhD in Computer Science, Robotics, Machine Learning or 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/optimization
- Proficiency in Python and modern deep learning frameworks for training large-scale networks
- hiring process
- Resumes accepted on a rolling basis until filled; apply individually to top 3 roles of interest.
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project
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