2027 Summer Intern, MS/PhD, Weather Perception
Core
Designing new perception features and developing ML models to enable safe autonomous driving in adverse weather and degraded road conditions.
Role type
Summer Intern, Machine Learning Perception Engineer
Builds
Hybrid onboard/offboard perception systems and ML models for the Waymo Driver
Domain
Autonomous driving, Computer Vision, Machine Learning
Deliverable
production ML models
Required skills
Machine learning, Transformer models, Python, Academic paper implementation, Deep learning frameworks
Preferred skills
Classical computer vision, Computational geometry, Real-time robotic systems, C++ programming
Technologies
TensorFlow, PyTorch, JAX
Responsibilities
Research and implement novel ML perception solutions for the self-driving stack; Develop applied research solutions for data-scarce weather challenges; Engage in cross-functional development within the onboard software team
Seniority
Intern
