We are looking for an enthusiastic AI & Robotics Intern to work on integrating Large Language Models (LLMs) and Vision-Foundation Models (VFMs) with robotic systems. You'll contribute to developing intelligent behaviors in ROS 2-based robots using GPT, CLIP, and similar models. This role involves prototyping, prompt engineering, and real-time system testing. A great opportunity to explore cutting-edge AI in real-world robotics.
Requirements
- Proficient in Python and familiar with deep learning frameworks (e.g., PyTorch or TensorFlow)
- Basic understanding of LLMs, transformer models, or vision-language models (e.g., CLIP, SAM)
- Exposure to ROS 2 through coursework, projects, or self-learning
- Strong interest in robotics, AI integration, and real-world problem solving
- Good analytical skills and ability to work independently
- Familiarity with tools like Gazebo, RViz, or model APIs (e.g., OpenAI, HuggingFace) is a plus
- Prior experience in AI/robotics projects (academic or personal) is a bonus
- Eagerness to learn and contribute in a collaborative, fast-paced environment
Benefits
- Opportunity to work on cutting-edge AI applications in robotics using LLMs and VFMs
- Mentorship from experienced robotics and AI engineers
- Access to state-of-the-art tools and simulation environments (e.g., ROS 2, Gazebo, Jetson)
- Competitive Monthly stipend
- Chance to receive a Pre-Placement Offer (PPO) based on performance
- Build a strong project portfolio that stands out in both academia and industry
