Internship 2027 Behavior Machine Learning Engineer, World Models
Core
Train and evaluate world models on real fleet data from autonomous construction machines to predict near-future site dynamics.
Role type
Internship Behavior Machine Learning Engineer (World Models)
Builds
World models for autonomous excavators and heavy construction equipment
Domain
Construction robotics / Autonomous systems
Deliverable
production ML models
Required skills
Python, PyTorch, model training, experimental design, reading research papers, handling messy real-world data
Preferred skills
world models, video prediction, sequence modeling, reinforcement learning, imitation learning, robotics data, large-scale training infrastructure
Technologies
PyTorch
Responsibilities
Train models on real fleet data, run architecture explorations and ablations, build evaluation harnesses and metrics, partner with controls teams to integrate model outputs, present findings
Seniority
Intern