AI & Computer Vision Engineering Intern (PhD-level)

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Requirements:

• Currently enrolled in a PhD in Computer Vision, Robotics, Machine Learning, or a related field.
• Strong background in AI, Computer Vision and Deep Learning, including experience with frameworks like PyTorch (preferred), TensorFlow, OpenCV, Open3D, etc.
• Proficiency in Python and C++ programming languages
• Hands-on experience with robot perception systems (e.g., LiDAR, RGB-D cameras, stereo vision, etc.)
• Strong research and problem-solving skills, with a passion for tackling real-world challenges in robotics.
• Excellent English communication skills and ability to work collaboratively in a multidisciplinary team.

Responsibilities:

• Develop Cutting-Edge Computer Vision Algorithms: Develop advanced computer vision techniques for object recognition, scene understanding, visual SLAM, and more to improve the performance and autonomy of mobile robots in complex, dynamic environments.
• Enhance Perception Systems: Collaborate with a cross-functional team to enhance robot perception for navigation, grasping, and task execution in real-world environments.
• Develop Generative AI and Language Models: Work on advanced LLM, GenAI, Language-Enabled Radiance Fields using our industry leading robotics data.
• Research and Innovation: Drive innovative research in deep learning, 3D computer vision, sensor fusion, and robotics perception.
• Deploy Solutions: Implement and test your research on real-world systems in a fast-paced, production-oriented environment.
• Collaborate: Work closely with experts in computer vision, robotics, software engineering, and machine learning to tackle real-world challenges in robotics.