Tech Stack

Description

You will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks, integrating computer vision and robotic control. Your work will translate cutting-edge concepts into robust capabilities for industrial applications, collaborating with a multidisciplinary team.

Requirements

• PhD in Computer Science, Robotics, or related field with ML/CV focus
• 3+ years applied research in robotic manipulation or robot learning
• Proficiency in Python and C++
• Experience with PyTorch, JAX, or TensorFlow
• Publication record in top-tier robotics/AI conferences

Responsibilities

• Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios
• Design algorithms for precise manipulation of complex or deformable objects
• Collaborate to optimize and deploy research prototypes onto physical robotic hardware
• Evaluate model performance in simulation and real-world environments
• Identify opportunities to apply advances in computer vision and robot learning to industrial problems