About the role#
The Driver Refinement Foundations team builds fundamental platforms to help engineers improve driving behavior through data-driven and heuristic methods. As an intern, you will work on the frameworks that support post-training and heuristic hill climbing across the Planner organization. You will partner with industry leaders on projects that directly impact our autonomous driving technology.
What you'll do#
- Mine and curate dataset samples from large driving data corpora.
- Use large language models and world foundation models for reasoning, decision-making, and multi-modality generation.
- Design and implement data generation pipelines for model training.
- Design and evaluate experiments for model training.
What you'll need#
- Current enrollment in a Master's or PhD program in Computer Science or a related technical field.
- Strong problem-solving skills and programming proficiency in Python or C++.
- A good understanding of Jax or Pytorch.
- Experience with model evaluation and relevant metrics.
- Experience with strong software engineering principles.
- A PhD is preferred.
- Previous internship experience is preferred.
- Some understanding of SQL is a plus.
Location & details#
- Location: San Francisco, California.
- Term: Summer 2027.
- Modality: Hybrid.
- Employment: Full-time, paid internship.
- Compensation: $70 per hour for Master's students, $85 per hour for PhD students.
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.
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