2027 Summer Intern, PhD, Planner Machine Learning
Waymo · San Francisco, California · San Francisco (US-SFO-MKT555)
CHECKED 8H AGO
Roboticsonsiteintern$177k
At a glance
Highlights
- Design novel deep learning architectures for Waymo's Large Selection planner model.
- Evaluate models on open- and closed-loop benchmarks connecting theory to driving.
- Join Waymo to build the brains of fully autonomous driving technology.
What they offer
- Generous benefits programs subject to eligibility requirements
Ideal candidate
PhD researcher passionate about autonomous driving who loves rigorous experimentation and connecting theory to real-world driving behavior. Curious, impact-driven, and excited to learn alongside industry leaders.
Requirements
- Currently pursuing a Ph.D. in Machine Learning or related quantitative field
- Strong hands-on proficiency in Python with a modern deep learning framework
- Solid foundation in deep learning, optimization, loss formulation and model diagnostics
- Experience designing and analyzing rigorous ML experiments on large-scale datasets
- hiring process
- Resumes accepted on a rolling basis until filled; apply individually to top 3 roles of interest.
Lab profile
About Waymo
Autonomous driving technology company building the Waymo Driver for fully autonomous ride-hailing.
What they build
- Waymo Driver
- Fully autonomous ride-hail service
Known for
- Large-scale driving simulation
- Simulation realism
- Quantitative evaluations
- Onboard autonomy models
Key facts
- Founded in 2009
- Started as the Google Self-Driving Car Project