2027 Summer Intern, Driver Refinement Foundations
Waymo
About the Role
This is a 2027 Summer Intern position focused on Machine Learning within the Driver Refinement Foundations team.
Key Responsibilities
- Mine and curate dataset samples from large corpus of driving data.
- Leverage large language models and world foundation models for reasoning, decision making, and multi-modality generation.
- Design and implement robust data generation pipelines for data generation.
- Design and evaluate experiments for model training.
- Design robust data generation pipelines for model training.
Requirements & Tech Stack
- Currently enrolled in a graduate program (Master's or PhD) in Computer Science or a 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 in strong software engineering principles.
Preferred Qualifications
- Some understanding of SQL is preferred.
- Previous internship experience.
- PhD is preferred.
General Perks
- Opportunity to solve challenging problems with direct impact.
- Competitive compensation packages.
- Housing/relocation bonus (if applicable).
- Medical, dental, and vision insurance.
- Fun intern events and networking opportunities.
Onsite Perks
- Free breakfast, lunch, dinner, and snacks.
- Free access to Google shuttles.
- Onsite gym.
Note: This will be a hybrid onsite internship position.
Hourly Masters Pay: $70 USD
Hourly PhD Pay: $85 USD