Internship R&D - #2214886

Who We Are:

We are a rapidly growing embodied AI company revolutionizing human labor. Leveraging cutting-edge robotics and advanced artificial intelligence, we develop transformative technologies that redefine how work is done across multiple industries—empowering businesses to streamline operations, boost productivity, and unlock new possibilities.

Overview:

We are seeking a highly motivated Research Intern to contribute to our work on task decomposition and multimodal fusion for imitation learning in robotic manipulation. This internship is ideal for students or early-stage researchers passionate about applying machine learning, computer vision, and robotics to real-world industrial automation challenges.

Your Responsibilities:

• Develop and evaluate task decomposition methods for complex robotic manipulation tasks.
• Investigate multimodal sensor fusion (e.g., vision, force, tactile) techniques to improve policy learning.
• Implement and benchmark imitation learning pipelines using both simulated and real-world robotic setups.
• Collaborate with our engineering team to transfer research outcomes to prototype systems.
• Document and present findings to both technical and non-technical stakeholders.
  
  

Qualifications:

• Enrolled in a Master’s or PhD program in Robotics, Machine Learning, Computer Vision, or a related field.
• Familiarity with reinforcement learning, imitation learning, or behavior cloning methods.
• Hands-on experience with robotic platforms or simulation environments (e.g., PyBullet, Isaac Gym).
• Strong programming skills in Python; familiarity with PyTorch or TensorFlow is a plus.
• Excellent problem-solving skills and the ability to work independently.
  
  

What We Offer:

• Free meals at the workplace
• Flexible working hours
• Option to work from home when needed
• A motivated team and an open corporate culture