Autonomy Software Engineering Internship, World Modeling

What you'd do

• Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
• Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors
• Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks.
• Develop synthetic data generation pipelines for post-training of humanoid world models
• Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
• Turn raw industrial video footage (shipyards, steel fabrication, welding cells) into structured, high-quality training data.
• Design and evaluate reasoning benchmarks that measure how well a fine-tuned world model grounds language queries in real shipyard and fabrication-plant scenes.

What they want

• Currently pursuing a BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, or a related field; recent graduates are also welcome.
• Hands-on experience training, fine-tuning, or evaluating modern deep learning models in PyTorch.
• Strong Python skills; comfortable writing data processing scripts, training loops, and evaluation harnesses.
• Working familiarity with at least one vision-language model, large language model, or video understanding model.
• Practical experience building data pipelines: ingestion, filtering, labeling workflows, deduplication, train/val/test splits.
• Comfortable working in Linux environments with Git, containers (Docker), and cloud GPU infrastructure.
• Self-directed and able to make steady progress on an open-ended research problem with weekly check-ins rather than daily direction.

About Persona AI · Persona AI

Persona AI is building humanoid robots for the most demanding environments in heavy industry — shipyards, steel mills, fabrication facilities, and offshore platforms — performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff. We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore.