2025 Summer Intern, PhD, Software Engineering, Machine Learning
Waymo
Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states.
The transportation & ride-hailing infrastructure team builds the backend software and software on the car to operate Waymo's fully self-driving vehicles as a commercial service. Our systems allow our vehicles to deliver people and goods safely and efficiently to their destinations. We think deeply and solve complex technical challenges in areas like scalability, capacity planning, reliable communications, and vehicle routing, while collaborating with software engineers and product managers both on and off the car.
Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!
You will:
Build Foundation models on our driving data and leverage models for downstream tasks
Required:
- Currently enrolled in a PhD program in Computer Science, Machine Learning, or a related field, with a focus on machine learning, artificial intelligence, or data science.
- Data science background - basic stats, precision/recall analysis
- Python
Preferred:
- LLM and ML experience:
- Transformers
- Model training and hillclimbing
- Model finetuning
- C++
Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in.
#LI-Hybrid
