2027 Summer Intern, MS/PhD, Machine Learning, Driver Refinement Foundations
Waymo · San Francisco, CA, USA · San Francisco (US-SFO-MKT555)
Roboticsonsiteintern$146k–$177k
At a glance
Highlights
- Build common frameworks for post-training across the Planner organization.
- Mine large driving corpora and curate dataset samples for training.
- Leverage LLMs and world models for reasoning and multimodal generation.
What they offer
- Housing/relocation bonus (if applicable)
- Medical, dental, and vision insurance
- Fun intern events and networking opportunities
- Free breakfast, lunch, dinner, and snacks
- Free access to Google shuttles
- Onsite gym
Ideal candidate
Graduate student in computer science passionate about autonomous driving and data-driven behavior improvement. Curious problem-solver who enjoys mining large datasets and turning experiments into real-world driving impact.
Requirements
- Currently enrolled in a graduate program (Master's or PhD) in Computer Science or related technical field
- Strong problem solving and programming skills in Python and/or C++
- Good understanding of Jax/Pytorch
- Experience in model evaluation and understanding metrics
- Experience with strong software engineering principles
- Some understanding of SQL preferred
- Previous internship experience
- PhD preferred
- remote policy
- hybrid
- 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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