Ludo Robotics→
AI/ML Research Intern at Ludo Robotics in San Francisco
InternshipOn-siteSan Francisco$104k–$146k/yr
Skills
artificial intelligencemachine learningdeep learningreinforcement learninggenerative modelsembodied intelligenceroboticsworld modelingpythonpytorchsocially intelligent system design
Job Description
Summary: LUDO ROBOTICS is a startup focused on building general-purpose robotic intelligence systems. They are looking for passionate AI/ML Research Interns to work on research-driven projects at the intersection of machine learning, world modeling, and robotics, with real deliverables and the opportunity to make a genuine impact.
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
Required Qualifications:
- 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
Preferred Qualifications:
- Master's or PhD students are preferred
- Exceptional undergraduates with strong AI/ML experience and a demonstrated interest in robotics and physical AI will also be considered
Required Skills: Artificial Intelligence, Machine Learning, Deep Learning, Reinforcement Learning, Generative Models, Embodied Intelligence, Robotics, World Modeling, Python, PyTorch, Socially Intelligent System Design