Tech Stack
Responsibilities
- Design, implement, and benchmark a system where LLM meta-agents generate and refine reward functions for autonomous driving policies
- Diagnose policy failure modes, reward exploitation, and multi-objective trade-offs to integrate into automated discovery loops
- Collaborate with scientists and engineers to transfer validated reward formulations into planner recipes
- Document research outcomes and prepare findings for internal tech transfers and potential conference publication
Benefits
- Equity
Culture
Hybrid WorkCross-Functional Teams
Requirements
Required: PhD in Computer Science, Robotics, Machine Learning, or a related quantitative field (In Progress)
Regions: Us
Get jobs like this in your inbox
Weekly Python, Rust, TypeScript hiring trends and salary data — free.
Join 8 engineers getting weekly insights
Get job market intelligence in your inbox
Free weekly insights on tech hiring trends, salaries, and in-demand stacks.
Already a subscriber? Sign in
About Waymo
Industry: autonomous vehicles
Size: large
Waymo is an autonomous driving technology company building the Waymo Driver to improve access to mobility and enhance road safety.
View company profile →Similar Jobs
2027 Summer Intern, PhD, Research, VLM Harnesses for AV Planning
Waymo · Mountain View, CA, USA
2027 Summer Intern, PhD, Planner Machine Learning
Waymo · San Francisco, California
2027 Summer Intern, PhD, Machine Learning, Planning/Prediction
Waymo · Mountain View, CA, USA
2027 Summer Intern, PhD, Machine Learning Research, Planning/Prediction
Waymo · Mountain View, CA, USA
2027 Summer Intern, PhD, Research, Post Training
Waymo · Mountain View, CA, USA: San Francisco, CA, USA