2027 Summer Intern, PhD, Software Engineer, Simulation
Core
Implement uncertainty-aware algorithms for transformer-based multi-task classifiers to improve Waymo's autonomous driving perception and decision-making systems.
Role type
PhD Software Engineer (Simulation & Deep Learning)
Builds
Transformer-based multi-task classifiers for autonomous driving perception and decision-making
Domain
Autonomous driving, robotics, deep learning
Deliverable
production ML models
Required skills
Python, deep learning frameworks (TensorFlow, JAX), transformer model debugging, version control, end-to-end implementation
Preferred skills
uncertainty measurement in deep learning, data-driven model performance improvement
Technologies
TensorFlow, JAX, Python, TensorBoard
Responsibilities
Implement uncertainty-aware algorithms for transformer-based multi-task classifiers; Execute end-to-end changes including evaluation; Ensure data and model implementation correctness per experiment plan
Seniority
PhD Student, Research & Development