2027 Summer Intern, PhD, Machine Learning, Simulation Realism
Core
Develop controllable & realistic adversarial agents for simulation-based evaluation and iterate on post-training recipes for Foundation Models and Waymo World Models.
Role type
PhD Research Intern (Machine Learning, Simulation)
Builds
Waymo Simulator, Foundation Models, Waymo World Models
Domain
Autonomous driving, Machine Learning, Simulation
Deliverable
production ML models
Required skills
Python, Tensor Manipulation (PyTorch/NumPy/JAX/TensorFlow), Machine Learning, Deep Learning
Preferred skills
Post-training, Reinforcement Learning, Attention mechanisms, Diffusion models, Autoregressive architectures, Autonomous driving, Robotics
Technologies
PyTorch, NumPy, JAX, TensorFlow
Responsibilities
Develop controllable & realistic adversarial agents for simulation-based evaluation; Iterate on post-training recipes for state-of-the-art Foundation Models and Waymo World Models
Seniority
Intern, PhD candidate