AI Intern, Robotics

Summary

Ndimensions Labs is a group of technologists focused on building the infrastructure and learning systems behind next-generation robotics AI. They are seeking a motivated AI Intern to assist with data collection, model training, and evaluation of robotics policies and algorithms, contributing to real systems and experiments in the field of embodied AI.

Responsibilities

• Assist with large-scale data collection and curation for robotics model training (real-world and simulation)
• Help train and fine-tune multimodal models (vision, language, and vision-language-action) for embodied tasks
• Run evaluations and ablation studies on robotics policies and algorithms
• Analyze model performance, identify failure modes, and propose improvements
• Build and maintain tooling for experiment tracking, data pipelines, and evaluation benchmarks
• Collaborate with the broader AI and systems teams on experiment design and iteration

Skills

• Currently pursuing a degree in Computer Science, Machine Learning, Robotics, or a related field
• Solid foundation in machine learning and deep learning concepts
• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
• Interest in robotics, computer vision, or multimodal learning
• Comfortable working in a fast-paced, research-oriented environment
• Strong problem-solving skills and ability to work independently
• Experience with robotics simulation environments (e.g., MuJoCo, Isaac Sim, Gazebo)
• Familiarity with reinforcement learning, imitation learning, or policy optimization
• Prior experience with data annotation, labeling pipelines, or dataset engineering
• Coursework or projects in computer vision, NLP, or multimodal systems

Qualifications

Must Haves

• Currently pursuing a degree in Computer Science, Machine Learning, Robotics, or a related field
• Solid foundation in machine learning and deep learning concepts
• Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, or JAX)
• Interest in robotics, computer vision, or multimodal learning
• Comfortable working in a fast-paced, research-oriented environment
• Strong problem-solving skills and ability to work independently

Nice to Haves

• Experience with robotics simulation environments (e.g., MuJoCo, Isaac Sim, Gazebo)
• Familiarity with reinforcement learning, imitation learning, or policy optimization
• Prior experience with data annotation, labeling pipelines, or dataset engineering
• Coursework or projects in computer vision, NLP, or multimodal systems