AI/ML Research Intern
About The Position
LUDO ROBOTICS is dedicated to building general-purpose robotic intelligence systems that are robust, adaptive, and capable of handling real-world scenarios. We believe that data-driven machine learning at massive scale is the key to unlocking these capabilities and enabling the widespread deployment of robots across society. We are a new startup headquartered in Bay Area, California, with an office in Seoul, Korea. Our team spans a wide range of backgrounds and experience, from new graduates to seasoned domain experts. What matters most to us is ownership, speed, and intellectual curiosity - people who take responsibility, move fast, and enjoy thinking deeply about hard problems. We are supported by a highly advanced AI Center within KRAFTON, a leading global video game company best known for the genre-defining worldwide success PUBG: Battlegrounds. KRAFTON has extensive experience building and operating large-scale, data-rich products, and we have secured investment from them. This gives us strong long-term backing, deep technical partnership opportunities, and access to world-class infrastructure and talent networks as we push robotic intelligence forward. We are looking for passionate builders who want to explore uncharted territory, take on difficult problems, and ship ambitious, industry-shaping work. You will collaborate across diverse teams as we bring our technology from research into real-world deployment. We're looking for passionate and driven AI/ML Research Interns to join our team for a 8-10-week program at the forefront of physical AI and embodied intelligence. You'll work on meaningful, research-driven projects at the intersection of machine learning, world modeling, and robotics — with real deliverables and the opportunity to make a genuine impact. All interns will start on or around June 22, 2026. By the end of the program, you'll be expected to produce: A working prototype or experimental system (e.g., a learned world model, simulation environment, or control pipeline) A technical write-up and presentation covering your approach, methodology, and results A demonstration of how your system contributes to modeling, prediction, or control in a physical AI context
Requirements
- Strong foundation in AI/ML, including deep learning, reinforcement learning, and/or generative models
- Genuine interest in embodied intelligence, robotics, and world modeling
- Proficiency in Python and modern ML frameworks (e.g., PyTorch)
- Ability to work independently in a fast-paced, research-oriented environment
- Ability to translate human behavioral and perceptual insights into socially intelligent system design
Responsibilities
- Developing and training world models that capture human behavior, social interaction dynamics, and physical environments
- Building and refining simulation environments and digital twins for robot–human interaction, enabling scalable training and evaluation
- Designing and integrating robot learning algorithms (e.g., reinforcement learning, imitation learning, generative modeling) that leverage world models for prediction and planning
- Exploring closed-loop systems where perception, prediction, and control are tightly coupled in real-time robotic settings
- Prototyping systems that combine digital human technologies with physical AI to enable realistic interaction, adaptation, and personalization
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What This Job Offers
Career Level
Intern
