AI & Computer Vision Engineering Intern (PhD-level)
Working hours : 9:00 AM -5:00 PM local time
Location : Remote based in England. 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.
- 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.
- Industry Leading Data: With over 13,000 robots operating in the field, over 200 sites and more than 100 customers, Locus Robotics offers unparalleled access to data to tackle AI-related problems.
- Cutting-Edge Technology: Work with the latest in autonomous mobile robotics and AI.
- Innovative Work Environment: Be part of a company that fosters creativity, collaboration, and continuous learning.
- Real-World Impact: Contribute directly to the development of solutions that are changing the way warehouses and distribution centers operate.
- Mentorship: Gain invaluable experience working with top-tier researchers and engineers in the field.
- Career Growth: Opportunities for continued employment or collaboration after the internship, depending on performance and business needs.
- Anomaly Detection, Generative AI, Radiance Fields, Gaussian Splatting, Robot Localization, Cross-View Geo-Localization, Language Models, Monocular Depth Estimation, Semantic Segmentation, Birds-Eye View, SLAM, Visual Odometry, Structure from Motion, Self-Supervised Learning, Reinforcement Learning, Diffusion Models
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