You will:- Conduct cluster analysis of driving behaviors of autonomous vehicles
- Build tools and automated pipelines to help improve Waymo's in-field response to undesirable events
- Experiment with ideas to improve precision of signals that detect undesirable behaviors
- Develop signals to quantify Waymo's driving performance
You have:- Currently pursuing graduate degree (Master's or PhD) in Computer Science, Software Engineering or a related technical field
- Proficiency in Python / C++
- Basic proficiency for data analysis (SQL or Python)
- Data fluency
We prefer:- Experience with training and evaluating Machine Learning models
- Experience prototyping agentic systems
- Experience with C++ and large-scale distributed systems
General Perks:- Help solve challenging problems with a direct impact on the company
- Competitive compensation packages with a 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. 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.
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly Masters Pay
$70-$70 USD
The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company's generous benefits programs, subject to eligibility requirements.
Hourly PhD Pay
$85-$85 USD
